1945-0877
Published by: American Association for the Advancement of Science
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Molecular Biology | 46 | 68 | 72 | 24 |
| Biology and Biochemistry | 89 | 379 | 285 | 43 |
The scientific interests tackled in Science Signaling are Cell biology, Signal transduction, Biochemistry, Receptor and Molecular biology. Topics in Cell biology were tackled in line with various other fields like Transcription factor and Immunology. Immunology and Cancer research are closely related fields of research discussed in Science Signaling.
The journal connects research in Cancer research with the related topic of Cancer cell. The journal explores the study of Receptor to improve our understanding of the broader topic of Internal medicine. The majority of Kinase studies are focused on the issues of MAPK/ERK pathway.
The most cited articles facilitate discussions on Cell biology, Signal transduction, Biochemistry, Kinase and Phosphorylation. The most cited articles address concerns in Cell biology which are intertwined with other disciplines, such as Receptor and Transcription factor. While the published papers focused on Signal transduction, they were also able to explore topics like Molecular biology and Cancer research.
The journal was organized to reinforce research efforts on Cell biology, Receptor, Cancer research, T cell and Immune system. Science Signaling links adjacent topics like Cell biology with Transcription factor. The in-depth study on Receptor also explores topics in the intersecting field of Neuroscience.
The studies tackled, which mainly focus on Cancer research, apply to Cancer as well. The majority of T cell studies in it are focused on the subject of T-cell receptor. While work presented in it provided substantial information on Immune system, it also covered topics in Proinflammatory cytokine and Cytokine.
A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing in Science Signaling (based on the number of publications) are:
The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing in Science Signaling (based on the number of publications) are:
The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 28.99% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 20.41% were posted by at least one author from the top 10 institutions publishing in the journal. Another 12.24% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.41% of all publications and 46.94% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Jonathan L. Robinson;Pınar Kocabaş;Hao Wang;Hao Wang;Pierre Etienne Cholley
(2020)Alexander Gillis;Arisbel B. Gondin;Andrea Kliewer;Julie Sanchez;Julie Sanchez
(2020)Lucy J Maccarthy-Morrogh;Paul B Martin;Paul B Martin
(2020)Benjamin I. Philipson;Roddy S. O’Connor;Michael J. May;Carl H. June
(2020)Falko Apel;Falko Apel;Liudmila Andreeva;Liudmila Andreeva;Liudmila Andreeva;Lorenz Sebastian Knackstedt;Lorenz Sebastian Knackstedt;Robert Streeck;Robert Streeck
(2021)Mauricio M. Oliveira;Mauricio M. Oliveira;Mychael V. Lourenco;Francesco Longo;Nicole P. Kasica
(2021)Alexander I. Salter;Anusha Rajan;Jacob J. Kennedy;Richard G. Ivey
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