Clayton Springer

1.3k citations
30 papers · 723 · h-index 16

Impact in

Papers in

Clayton Springer

29 papers receiving 703 citations

Peers

Clayton Springer
Comparison fields: 5 of 105
  • Computational Theory and Mathematics 141
  • Pharmaceutical Science 52
  • Atomic and Molecular Physics, and Optics 207
  • Pharmacology 40
  • Organic Chemistry 134
Replace Yasuo Matsushita with:
Yasuo Matsushita Japan
Claude Luttmann United Kingdom
Felix Reichel Germany
Niel M. Henriksen United States
Adam Hospital Spain
Randy J. Zauhar United States
Joannis Apostolakis Germany
Markus Haeberlein Sweden
Jan Wenzel Germany
Rui Sun United States
Clayton Springer relative to Yasuo Matsushita Japan Yasuo Matsushita's profile →
Citations per field
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Yasuo Matsushita · 1×
Citations per year

Countries citing papers authored by Clayton Springer

Since Specialization
Citations

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

Fields of papers citing papers by Clayton Springer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199477
2 200962
3 201462
4 200052
5 199652
6 199644
7 201142
8 201235
9 200234
10 200233
11 200532
12 199824
13 199519
14 201317
15 201217
16 202317
17 201615
18 199515
19 202413
20 200012

About Clayton Springer

Clayton Springer is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Organic Chemistry and Information Systems, having authored 30 papers that have together received 723 indexed citations. Recurring topics across this work include Advanced Chemical Physics Studies (5 papers), Computational Drug Discovery Methods (5 papers), Semiconductor Quantum Structures and Devices (4 papers), Data Mining Algorithms and Applications (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers), Machine Learning in Bioinformatics (3 papers), Machine Learning in Materials Science (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). The work is most often cited by research in Computational Theory and Mathematics (141 citations), Pharmaceutical Science (52 citations), Atomic and Molecular Physics, and Optics (207 citations), Pharmacology (40 citations) and Organic Chemistry (134 citations). Clayton Springer has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Martin Head‐Gordon, John C. Tully, David Barnes‐Seeman, Franco Lombardo, Nigel J. Waters, Giuliano Berellini, Fred E. Cohen, W. Richter, Patrick McCarren and Lewis Whitehead. Their work appears in journals such as Journal of Medicinal Chemistry, Surface Science, Current Topics in Medicinal Chemistry, ACS Medicinal Chemistry Letters and Bioorganic & Medicinal Chemistry Letters.

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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