David E. Timm

45 papers receiving 2.3k citations

Peers

David E. Timm
Comparison fields: 5 of 101
  • Clinical Biochemistry 130
  • Physiology 526
  • Molecular Biology 836
  • Biochemistry 66
  • Sensory Systems 41
Replace Wyatt W. Yue with:
Wyatt W. Yue United Kingdom
Gary K. Smith United States
Jason G. McCoy United States
Thomas Dierks Germany
Paola Dominici Italy
Per Jemth Sweden
Masao Sakaguchi Japan
Elzbieta G. Glaser Sweden
Jiřı́ Jiráček Czechia
Don J. Mahuran Canada
David E. Timm relative to Wyatt W. Yue United Kingdom Wyatt W. Yue's profile →
Citations per field
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Wyatt W. Yue · 1×
Citations per year

Countries citing papers authored by David E. Timm

Since Specialization
Citations

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

Fields of papers citing papers by David E. Timm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011330
2 1994224
3 2000188
4 2015174
5 2000135
6 1994107
7 200190
8 199875
9 200073
10 199972
11 199357
12 200155
13 200147
14 200547
15 201843
16 199241
17 202140
18 201136
19 199934
20 200134

About David E. Timm

David E. Timm is a scholar working on Physiology, Materials Chemistry, Biochemistry, Molecular Biology and Structural Biology, having authored 45 papers that have together received 2.4k indexed citations. Recurring topics across this work include Enzyme Structure and Function (12 papers), Alzheimer's disease research and treatments (11 papers), Protein Structure and Dynamics (9 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Nerve injury and regeneration (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Protease and Inhibitor Mechanisms (3 papers) and Advanced Electron Microscopy Techniques and Applications (3 papers). The work is most often cited by research in Clinical Biochemistry (130 citations), Physiology (526 citations), Molecular Biology (836 citations), Biochemistry (66 citations) and Sensory Systems (41 citations). David E. Timm has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Kenneth Neet, Gerard J. Bunick, Joel M. Harp, B. Leif Hanson, Heather A. Mueller, Miguel Angel Peñalva, Santiago Rodrı́guez de Córdoba, Lydia J. Baker, John W. Burgner and Tom L. Blundell. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Protein Science, Journal of Biological Chemistry, Journal of Medicinal Chemistry and Structure.

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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