David A. Okar

25 papers receiving 1.1k citations

Peers

David A. Okar
Comparison fields: 5 of 80
  • Cancer Research 393
  • Endocrinology, Diabetes and Metabolism 195
  • Molecular Biology 759
  • Surgery 336
  • Biochemistry 54
Replace Stephen R. Koch with:
Stephen R. Koch United States
Gerassimos E. Voutsinas Greece
Dominique Perdereau France
Marc C. Daniels United States
S P Tam Canada
David T. Kurtz United States
Lisette A. Maddison United States
P E Strömstedt Sweden
Kamal D. Mehta United States
H Jamil Canada
David A. Okar relative to Stephen R. Koch United States Stephen R. Koch's profile →
Citations per field
00.5×3.0×
Stephen R. Koch · 1×
Citations per year

Countries citing papers authored by David A. Okar

Since Specialization
Citations

This map shows the geographic impact of David A. Okar'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 David A. Okar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Okar more than expected).

Fields of papers citing papers by David A. Okar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Okar. 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 David A. Okar. The network helps show where David A. Okar may publish in the future.

Co-authors

The 25 scholars most cited alongside David A. Okar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David A. Okar Line = papers co-authored together David A. Okar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001298
2 1999148
3 200484
4 200582
5 200172
6 200165
7 200557
8 200453
9 200337
10 200237
11 199530
12 200728
13 200220
14 199416
15 200015
16 200511
17 199510
18 199910
19 199410
20 19947

About David A. Okar

David A. Okar is a scholar working on Molecular Biology, Cancer Research, Surgery, Materials Chemistry and Biochemistry, having authored 25 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (13 papers), Metabolism, Diabetes, and Cancer (12 papers), Pancreatic function and diabetes (8 papers), Enzyme Structure and Function (7 papers), Amino Acid Enzymes and Metabolism (4 papers), Diet, Metabolism, and Disease (4 papers), Biochemical and Molecular Research (4 papers) and Advanced NMR Techniques and Applications (4 papers). The work is most often cited by research in Cancer Research (393 citations), Endocrinology, Diabetes and Metabolism (195 citations), Molecular Biology (759 citations), Surgery (336 citations) and Biochemistry (54 citations). David A. Okar has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Alex J. Lange, Chaodong Wu, L. Riera, Ànna Manzano, Ramón Bartrons, Àurea Navarro‐Sabaté, Simone Baltrusch, Christopher B. Newgard, Sigurd Lenzen and Markus Tiedge. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Trends in Biochemical Sciences, The FASEB Journal and Archives of Biochemistry and Biophysics.

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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