Steven J. Darnell

428 citations
7 papers · 297 indexed · h-index 4
Topics
Glycosylation and Glycoproteins Research (2 papers)vaccines and immunoinformatics approaches (2 papers)Protein Structure and Dynamics (2 papers)
Partner nations
United States

In The Last Decade

Steven J. Darnell

6 papers receiving 290 citations

Peers

Steven J. Darnell
Comparison fields: 5 of 59
  • Molecular Biology 239
  • Computational Theory and Mathematics 81
  • Materials Chemistry 74
  • Radiology, Nuclear Medicine and Imaging 35
  • Oncology 19
Replace Guang Qiang Dong with:
Guang Qiang Dong Canada
Matthieu Chartier Canada
Gwo-Yu Chuang United States
Efrat Ben‐Zeev Israel
Megan Egbert United States
H.L. Silvestre United Kingdom
Zeynep Kurkcuoglu Türkiye
Francis Gaudreault Canada
Siqi Liang United States
Franco L. Simonetti Argentina
Steven J. Darnell relative to Guang Qiang Dong Canada Guang Qiang Dong's profile →
Citations per field
00.5×1.5×
Guang Qiang Dong · 1×
Citations per year

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

7 of 7 papers shown
#WorkIndexed citations
1 2
2
Precise Predictions of Linear B Cell Epitopes in Protean 3D
2
3 12
4 114
5
Protein interaction hot spots and engineered binding affinity within the smad4-ski interface
0
6 156
7 11

About Steven J. Darnell

Steven J. Darnell is a scholar working on Cell Biology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 297 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (2 papers), vaccines and immunoinformatics approaches (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Computational Theory and Mathematics (81 citations), Molecular Biology (239 citations) and Materials Chemistry (74 citations). Steven J. Darnell has collaborated with scholars based in United States. Frequent co-authors include Julie C. Mitchell, David Page, Lisa Legault, Vijayasaradhi Setaluri, Kumar M. R. Bhat, Rajendra Kedlaya, Norman R. Drinkwater, F. Michael Hoffmann, Kenneth A. Satyshur and Michael A. Newton. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and Biophysical Journal.

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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