Steven J. Darnell

10 total papers · 428 total citations
7 papers, 297 citations indexed

About

Steven J. Darnell is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cell Biology. According to data from OpenAlex, Steven J. Darnell has authored 7 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Cell Biology. Recurrent topics in Steven J. Darnell's work include Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Steven J. Darnell is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). Steven J. Darnell collaborates with scholars based in United States. Steven J. Darnell's co-authors include Julie C. Mitchell, David Page, Lisa Legault, Kumar M. R. Bhat, Vijayasaradhi Setaluri, Rajendra Kedlaya, Kenneth A. Satyshur, Norman R. Drinkwater, F. Michael Hoffmann and Michael A. Newton and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Biophysical Journal.

In The Last Decade

Steven J. Darnell

6 papers receiving 290 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Steven J. Darnell	239	81	74	35	19	7	297
Marc Fasnacht	261 1.1×	46 0.6×	90 1.2×	47 1.3×	13 0.7×	8	350
Rick Oerlemans	223 0.9×	82 1.0×	45 0.6×	18 0.5×	18 0.9×	12	342
V. Talibov	265 1.1×	55 0.7×	54 0.7×	31 0.9×	13 0.7×	18	344
Stefania Pfeiffer‐Marek	254 1.1×	78 1.0×	48 0.6×	44 1.3×	22 1.2×	14	329
Vladas Algirdas Bumelis	277 1.2×	38 0.5×	40 0.5×	36 1.0×	27 1.4×	11	353
João M. Martins	283 1.2×	61 0.8×	67 0.9×	21 0.6×	22 1.2×	16	343
Brendan C. Maguire	245 1.0×	65 0.8×	35 0.5×	18 0.5×	22 1.2×	8	331
Gerhard Klebe	203 0.8×	122 1.5×	66 0.9×	26 0.7×	15 0.8×	9	313
Xiang Li	280 1.2×	56 0.7×	86 1.2×	15 0.4×	12 0.6×	10	326
Megan Egbert	247 1.0×	129 1.6×	32 0.4×	25 0.7×	30 1.6×	11	353

Countries citing papers authored by Steven J. Darnell

Since Specialization

Citations

This map shows the geographic impact of Steven J. Darnell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Steven J. Darnell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven J. Darnell more than expected).

Fields of papers citing papers by Steven J. Darnell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven J. Darnell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Steven J. Darnell. The network helps show where Steven J. Darnell may publish in the future.

Co-authorship network of co-authors of Steven J. Darnell

This figure shows the co-authorship network connecting the top 25 collaborators of Steven J. Darnell. A scholar is included among the top collaborators of Steven J. Darnell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven J. Darnell. Steven J. Darnell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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