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D-Index & Metrics

Psychology

D-Index
40
Citations
9689
World Ranking
8105
National Ranking
4344

Daniel C. Molden publication distribution in Psychology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Psychology in 2026. The highlighted bar marks where Daniel C. Molden sits on this spectrum.

31–40 publications: 6 scientists 41–50 publications: 52 scientists 51–60 publications: 138 scientists 61–70 publications: 299 scientists 71–80 publications: 461 scientists 81–90 publications: 605 scientists 91–100 publications: 713 scientists 101–110 publications: 736 scientists 111–120 publications: 686 scientists 121–130 publications: 670 scientists 131–140 publications: 644 scientists 141–150 publications: 597 scientists 151–160 publications: 576 scientists 161–170 publications: 477 scientists 171–180 publications: 450 scientists 181–190 publications: 397 scientists 191–200 publications: 344 scientists 201–210 publications: 328 scientists 211–220 publications: 313 scientists 221–230 publications: 283 scientists 231–240 publications: 226 scientists 241–250 publications: 196 scientists 251–260 publications: 201 scientists 261–270 publications: 171 scientists 271–280 publications: 151 scientists 281–290 publications: 139 scientists 291–300 publications: 113 scientists 301–310 publications: 102 scientists 311–320 publications: 100 scientists 321–330 publications: 76 scientists 331–340 publications: 92 scientists 341–350 publications: 85 scientists 351–360 publications: 69 scientists 361–370 publications: 71 scientists 371–380 publications: 63 scientists 381–390 publications: 58 scientists 391–400 publications: 57 scientists 401–410 publications: 43 scientists 411–420 publications: 34 scientists 421–430 publications: 50 scientists 431–440 publications: 41 scientists 441–450 publications: 32 scientists 451–460 publications: 27 scientists 461–470 publications: 28 scientists 471–480 publications: 25 scientists 481–490 publications: 28 scientists 491–500 publications: 20 scientists 501–510 publications: 23 scientists 511–520 publications: 26 scientists 521–530 publications: 17 scientists 531–540 publications: 21 scientists 541–550 publications: 14 scientists 551–560 publications: 16 scientists 561–570 publications: 10 scientists 571–580 publications: 22 scientists 581–590 publications: 9 scientists 591–600 publications: 14 scientists 601–610 publications: 9 scientists 611–620 publications: 11 scientists 621–630 publications: 4 scientists 631–640 publications: 7 scientists 641–650 publications: 5 scientists 651–660 publications: 10 scientists 661–670 publications: 8 scientists 671–680 publications: 8 scientists 681–690 publications: 4 scientists 691–700 publications: 3 scientists 701–705 publications: 5 scientists 706+ publications: 100 scientists
31 publications 706+

This scientist: 72 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 706 publications or more.

Daniel C. Molden D-index placement in Psychology in 2026

The chart shows the D-index (discipline H-index) distribution of Psychology scientists ranked by Research.com in 2026. The highlighted bar marks where Daniel C. Molden sits on this spectrum.

30–31 D-Index: 398 scientists 32–33 D-Index: 702 scientists 34–35 D-Index: 671 scientists 36–37 D-Index: 659 scientists 38–39 D-Index: 641 scientists 40–41 D-Index: 671 scientists 42–43 D-Index: 617 scientists 44–45 D-Index: 559 scientists 46–47 D-Index: 495 scientists 48–49 D-Index: 487 scientists 50–51 D-Index: 445 scientists 52–53 D-Index: 390 scientists 54–55 D-Index: 408 scientists 56–57 D-Index: 345 scientists 58–59 D-Index: 325 scientists 60–61 D-Index: 321 scientists 62–63 D-Index: 248 scientists 64–65 D-Index: 290 scientists 66–67 D-Index: 218 scientists 68–69 D-Index: 219 scientists 70–71 D-Index: 215 scientists 72–73 D-Index: 183 scientists 74–75 D-Index: 169 scientists 76–77 D-Index: 132 scientists 78–79 D-Index: 137 scientists 80–81 D-Index: 120 scientists 82–83 D-Index: 112 scientists 84–85 D-Index: 87 scientists 86–87 D-Index: 101 scientists 88–89 D-Index: 83 scientists 90–91 D-Index: 77 scientists 92–93 D-Index: 70 scientists 94–95 D-Index: 79 scientists 96–97 D-Index: 58 scientists 98–99 D-Index: 53 scientists 100–101 D-Index: 57 scientists 102–103 D-Index: 48 scientists 104–105 D-Index: 53 scientists 106–107 D-Index: 46 scientists 108–109 D-Index: 24 scientists 110–111 D-Index: 35 scientists 112–113 D-Index: 27 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 31 scientists 118–119 D-Index: 22 scientists 120–121 D-Index: 16 scientists 122–123 D-Index: 24 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 11 scientists 128–129 D-Index: 19 scientists 130–131 D-Index: 10 scientists 132–133 D-Index: 16 scientists 134–135 D-Index: 10 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 8 scientists 140–141 D-Index: 5 scientists 142–143 D-Index: 12 scientists 144+ D-Index: 98 scientists
30 D-Index 144+

This scientist: 40 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 144 D-Index or more.

Overview

Daniel C. Molden is affiliated with Northwestern University in the United States. Their research primarily focuses on the social sciences, with significant contributions to sociology and political science, social psychology, experimental and cognitive psychology, cognitive neuroscience, and communication.

The scientist has published in several academic venues, with frequent appearances in:

  • Political Psychology
  • Journal of Open Psychology Data
  • Journal of Personality and Social Psychology
  • European Journal of Personality
  • Journal of Experimental Social Psychology

Their published works include a range of articles spanning various topics. Selected recent papers are:

  • "When and How Different Motives Can Drive Motivated Political Reasoning" (2020) in Political Psychology
  • "Predicting romantic interest during early relationship development: A preregistered investigation using machine learning" (2022) in European Journal of Personality
  • "Negligible evidence that people desire partners who uniquely fit their ideals" (2020) in Journal of Experimental Social Psychology
  • "A motivational systems approach to investigating opinions on climate change" (2021) in Thinking & Reasoning
  • "The Open Anchoring Quest Dataset: Anchored Estimates from 96 Studies on Anchoring Effects" (2022) in Journal of Open Psychology Data

Molden's research encompasses the following main topics:

  • Social and Intergroup Psychology
  • Climate Change Communication and Perception
  • Evolutionary Psychology and Human Behavior
  • Social Media and Politics
  • Attachment and Relationship Dynamics
  • Adolescent Sexual and Reproductive Health
  • Consumer Behavior in Brand Consumption and Identification

Frequent co-authors include:

  • Robin Bayes
  • James Druckman
  • Paul W. Eastwick
  • Eli J. Finkel
  • Lukas Röseler

Their interdisciplinary approach bridges multiple subfields to explore social cognition, political reasoning, relationship dynamics, and environmental communication. Their work often intersects experimental methodologies to investigate human behavior in social contexts, including the use of machine learning techniques for relationship prediction and motivational frameworks in political psychology.

Best Publications

  • Finding "meaning" in psychology: a lay theories approach to self-regulation, social perception, and social development.

    Daniel C. Molden;Carol S. Dweck

  • Transfer of value from fit.

    E. Tory Higgins;Lorraine Chen Idson;Antonio L. Freitas;Scott Spiegel

  • Many analysts, one dataset: Making transparent how variations in analytical choices affect results

    R. Silberzahn;E. L. Uhlmann;D. P. Martin;P. Anselmi

  • Self-Theories: Their impact on competence motivation and acquisition

    Carol S. Diveck;Daniel C. Molden

  • Promotion and Prevention Focus on Alternative Hypotheses: Implications for Attributional Functions

    Nira Liberman;Daniel Molden;Lorraine Idson;E. Higgins

  • Motivations for prevention or promotion following social exclusion: being rejected versus being ignored.

    Daniel C. Molden;Gale M. Lucas;Wendi L. Gardner;Kristy Dean

  • Motivational Versus Metabolic Effects of Carbohydrates on Self-Control:

    Daniel C. Molden;Chin Ming Hui;Abigail A. Scholer;Brian P. Meier

  • Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results

    R Silberzahn;E L Uhlmann;D P Martin

  • Motivations for promotion and prevention

    Daniel C. Molden;Angela Y. Lee;E. Tory Higgins

  • Understanding Priming Effects in Social Psychology: What is “Social Priming” and How does it Occur?

    Daniel C. Molden

  • Naive theories of intelligence and the role of processing fluency in perceived comprehension.

    David B. Miele;Daniel C. Molden

  • Meaning and motivation.

    Daniel C. Molden;Carol S. Dweck

  • The promise and peril of self-affirmation in de-escalation of commitment

    Niro Sivanathan;Daniel C. Molden;Adam D. Galinsky;Gillian Ku

  • “Meaningful” social inferences: Effects of implicit theories on inferential processes

    Daniel C. Molden;Jason E. Plaks;Carol S. Dweck

  • Does Easily Learned Mean Easily Remembered? It Depends on Your Beliefs About Intelligence

    David B. Miele;Bridgid Finn;Daniel C. Molden

  • Expanding minds: Growth mindsets of self-regulation and the influences on effort and perseverance

    Alissa J. Mrazek;Alissa J. Mrazek;Elliott D. Ihm;Daniel C. Molden;Michael D. Mrazek

  • There’s No Substitute for Belonging: Self-Affirmation Following Social and Nonsocial Threats

    Megan L. Knowles;Gale M. Lucas;Daniel C. Molden;Wendi L. Gardner

  • Motivations for promotion and prevention and the role of trust and commitment in interpersonal forgiveness

    Daniel C. Molden;Eli J. Finkel

  • The pipeline project : Pre-publication independent replications of a single laboratory's research pipeline

    Martin Schweinsberg;Nikhil Madan;Michelangelo Vianello;S. Amy Sommer

  • CATEGORIZATION UNDER UNCERTAINTY: RESOLVING VAGUENESS AND AMBIGUITY WITH EAGER VERSUS VIGILANT STRATEGIES

    Daniel C. Molden;E. Tory Higgins

Frequent Co-Authors

E. Tory Higgins
E. Tory Higgins Columbia University
Eli J. Finkel
Eli J. Finkel Northwestern University
Carol S. Dweck
Carol S. Dweck Stanford University
Wendi L. Gardner
Wendi L. Gardner Northwestern University
Jay J. Van Bavel
Jay J. Van Bavel New York University
Eric-Jan Wagenmakers
Eric-Jan Wagenmakers University of Amsterdam
Sapna Cheryan
Sapna Cheryan University of Washington
Peter H. Ditto
Peter H. Ditto University of California, Irvine
Andrei Cimpian
Andrei Cimpian New York University

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