S. Gerhardt

57 papers receiving 2.0k citations

Peers

S. Gerhardt
Comparison fields: 5 of 108
  • Geriatrics and Gerontology 299
  • Physiology 138
  • Molecular Biology 1.3k
  • Hematology 149
  • Biochemistry 91
Replace Hiremagalur N. Jayaram with:
Hiremagalur N. Jayaram United States
Patrick A. Marcotte United States
Robert L. Shepard United States
Akihiro Tomida Japan
Geetha Achanta United States
J. Jefferson P. Perry United States
G. Pochetti Italy
Xuben Hou China
Julie A. Woods United Kingdom
S. Gerhardt relative to Hiremagalur N. Jayaram United States Hiremagalur N. Jayaram's profile →
Citations per field
00.5×3.1×
Hiremagalur N. Jayaram · 1×
Citations per year

Countries citing papers authored by S. Gerhardt

Since Specialization
Citations

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

Fields of papers citing papers by S. Gerhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Gerhardt. 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 S. Gerhardt. The network helps show where S. Gerhardt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015227
2 2014130
3 1976110
4 201392
5 200277
6 201576
7 200575
8 201074
9 200768
10 201568
11 201664
12 201863
13 200261
14 200260
15 201249
16 201648
17 200342
18 200342
19 201237
20 200236

About S. Gerhardt

S. Gerhardt is a scholar working on Geriatrics and Gerontology, Physiology, Clinical Biochemistry, Biochemistry and Molecular Biology, having authored 59 papers that have together received 2.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (12 papers), Biochemical and Molecular Research (9 papers), Protein Degradation and Inhibitors (6 papers), Sirtuins and Resveratrol in Medicine (5 papers), Metabolism and Genetic Disorders (5 papers), Protease and Inhibitor Mechanisms (5 papers), Folate and B Vitamins Research (5 papers) and Calcium signaling and nucleotide metabolism (4 papers). The work is most often cited by research in Geriatrics and Gerontology (299 citations), Physiology (138 citations), Molecular Biology (1.3k citations), Hematology (149 citations) and Biochemistry (91 citations). S. Gerhardt has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Oliver Einsle, Manfred Jung, Adelbert Bacher, K. F. Schnell, Stefan Steinbacher, Robert Huber, Tobias Rumpf, Markus Fischer, Daniel Wohlwend and Judit Ovádi. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Molecular Biology, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Journal of Structural Biology.

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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