World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
66
Citations
20457
World Ranking
7173
National Ranking
85

Kunal Roy publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Kunal Roy sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

This scientist: 523 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,295 publications or more.

Kunal Roy D-index placement in Chemistry in 2026

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

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

This scientist: 66 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 159 D-Index or more.

Best Publications

  • On Some Aspects of Variable Selection for Partial Least Squares Regression Models

    Unknown

  • On a simple approach for determining applicability domain of QSAR models

    Unknown

  • Be aware of error measures. Further studies on validation of predictive QSAR models

    Unknown

  • On Two Novel Parameters for Validation of Predictive QSAR Models

    Unknown

  • Further exploring rm2 metrics for validation of QSPR models

    Probir Kumar Ojha;Indrani Mitra;Rudra Narayan Das;Kunal Roy

  • Green Chemistry in the Synthesis of Pharmaceuticals.

    Unknown

  • Comparative Studies on Some Metrics for External Validation of QSPR Models

    Unknown

  • Some case studies on application of "r(m)2" metrics for judging quality of quantitative structure-activity relationship predictions: emphasis on scaling of response data.

    Unknown

  • On some aspects of validation of predictive quantitative structure–activity relationship models

    Unknown

  • Exploring the impact of size of training sets for the development of predictive QSAR models

    Unknown

  • On various metrics used for validation of predictive QSAR models with applications in virtual screening and focused library design.

    Unknown

  • Exploring quantitative structure–activity relationship studies of antioxidant phenolic compounds obtained from traditional Chinese medicinal plants

    Indrani Mitra;Achintya Saha;Kunal Roy

  • A Primer on QSAR/QSPR Modeling: Fundamental Concepts

    Unknown

  • On Selection of Training and Test Sets for the Development of Predictive QSAR models

    Unknown

  • A Primer on QSAR/QSPR Modeling

    Kunal Roy;Supratik Kar;Rudra Narayan Das

  • Comparative QSARs for antimalarial endochins: Importance of descriptor-thinning and noise reduction prior to feature selection

    Unknown

  • “NanoBRIDGES” software: Open access tools to perform QSAR and nano-QSAR modeling

    Unknown

  • How important is to detect systematic error in predictions and understand statistical applicability domain of QSAR models

    Unknown

  • Prediction reliability of QSAR models: an overview of various validation tools

    Unknown

  • Comparative chemometric modeling of cytochrome 3A4 inhibitory activity of structurally diverse compounds using stepwise MLR, FA-MLR, PLS, GFA, G/PLS and ANN techniques

    Kunal Roy;Partha Pratim Roy

Frequent Co-Authors

Jerzy Leszczynski
Jerzy Leszczynski Jackson State University
Paul L. A. Popelier
Paul L. A. Popelier University of Manchester
Andrey A. Toropov
Andrey A. Toropov Mario Negri Institute for Pharmacological Research
Humberto González-Díaz
Humberto González-Díaz University of the Basque Country
Sónia P. M. Ventura
Sónia P. M. Ventura University of Aveiro
Scott E. Belanger
Scott E. Belanger Procter & Gamble (United States)
Rafik Karaman
Rafik Karaman Al-Quds University
José Maria Monserrat
José Maria Monserrat Federal University of Rio Grande
Ivan Raška
Ivan Raška Charles University
João A. P. Coutinho
João A. P. Coutinho University of Aveiro

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