Gregory K. Farber

1.8k citations
32 papers · 1.4k · h-index 22

Impact in

Papers in

Gregory K. Farber

32 papers receiving 1.4k citations

Peers

Gregory K. Farber
Comparison fields: 5 of 110
  • Biotechnology 192
  • Biochemistry 130
  • Molecular Biology 967
  • Materials Chemistry 603
  • Endocrinology, Diabetes and Metabolism 114
Replace Juan C. Ferrer with:
Juan C. Ferrer Spain
T. Arakawa Japan
Ronald E. Viola United States
Yoshiaki Nosoh Japan
E. M. Crook United Kingdom
K.L. Britton United Kingdom
Wolfgang E. Trommer Germany
H. Schneider Canada
Xin Wen China
J. Ellis Bell United States
Gregory K. Farber relative to Juan C. Ferrer Spain Juan C. Ferrer's profile →
Citations per field
00.5×3.9×
Juan C. Ferrer · 1×
Citations per year

Countries citing papers authored by Gregory K. Farber

Since Specialization
Citations

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

Fields of papers citing papers by Gregory K. Farber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory K. Farber. 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 Gregory K. Farber. The network helps show where Gregory K. Farber may publish in the future.

Co-authors

The 25 scholars most cited alongside Gregory K. Farber, 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 Gregory K. Farber Line = papers co-authored together Gregory K. Farber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990330
2 1995131
3 1994114
4 199787
5 199464
6 199363
7 199757
8 199455
9 199552
10 198743
11 200139
12 202336
13 200236
14 200033
15 199233
16 199632
17 200131
18 199730
19 199923
20 199323

About Gregory K. Farber

Gregory K. Farber is a scholar working on Materials Chemistry, Molecular Biology, Endocrinology, Diabetes and Metabolism, Spectroscopy and Physiology, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (18 papers), Protein Structure and Dynamics (8 papers), Mass Spectrometry Techniques and Applications (4 papers), Diet, Metabolism, and Disease (4 papers), Enzyme Catalysis and Immobilization (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Spaceflight effects on biology (3 papers) and Muscle metabolism and nutrition (2 papers). The work is most often cited by research in Biotechnology (192 citations), Biochemistry (130 citations), Molecular Biology (967 citations), Materials Chemistry (603 citations) and Endocrinology, Diabetes and Metabolism (114 citations). Gregory K. Farber has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Gregory A. Petsko, Hemant P. Yennawar, Neela H. Yennawar, Dagmar Ringe, Barry Stoddard, Soojay Banerjee, Ronald E. Viola, Wuxian Shi, Arnon Lavie and Arthur Glasfeld. Their work appears in journals such as Biochemistry, The FASEB Journal, Protein Science, Protein Engineering Design and Selection and Journal of Crystal Growth.

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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