David E. Timm

48 papers receiving 1.9k citations

Peers

David E. Timm
Comparison fields: 5 of 123
  • Clinical Biochemistry 184
  • Biochemistry 146
  • Molecular Biology 1.2k
  • Materials Chemistry 434
  • Cell Biology 147
Replace Abraham Patchornik with:
Abraham Patchornik Israel
Mark J. S. Kelly United States
Ryan A. Mehl United States
Jens T. Kaiser United States
James F. Marecek United States
Marcia L. Walsh United States
Patrick D’Silva India
Salem Faham United States
Robert Aggeler United States
C.L. Borders United States
David E. Timm relative to Abraham Patchornik Israel Abraham Patchornik's profile →
Citations per field
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Abraham Patchornik · 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 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994220
2 2000177
3 2000119
4 1994107
5 1962104
6 200187
7 199873
8 200072
9 199967
10 198854
11 200152
12 199351
13 199346
14 200544
15 196242
16 200141
17 199241
18 201838
19 196235
20 199934

About David E. Timm

David E. Timm is a scholar working on Molecular Biology, Organic Chemistry, Materials Chemistry, Biochemistry and Clinical Biochemistry, having authored 49 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (7 papers), Enzyme Structure and Function (7 papers), Biochemical and Molecular Research (6 papers), Nerve injury and regeneration (5 papers), Protein Structure and Dynamics (5 papers), Biochemical Acid Research Studies (5 papers), Chemical Synthesis and Analysis (4 papers) and Carbohydrate Chemistry and Synthesis (4 papers). The work is most often cited by research in Clinical Biochemistry (184 citations), Biochemistry (146 citations), Molecular Biology (1.2k citations), Materials Chemistry (434 citations) and Cell Biology (147 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, L. Baker, H. Flood, Olof Theander, H.A. Mueller, Santiago Rodrı́guez de Córdoba and Miguel Á. Peñalva. Their work appears in journals such as Acta chemica Scandinavica/Acta chemica Scandinavica. B, Organic chemistry and biochemistry/Acta chemica Scandinavica. A, Physical and inorganic chemistry/Acta chemica Scandinavica. Series B. Organic chemistry and biochemistry/Acta chemica Scandinavica. Series A, Physical and inorganic chemistry, Protein Science, Journal of Biological Chemistry, Bioorganic & Medicinal Chemistry Letters 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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