Nicholas J. Kuhn

3.7k citations
125 papers · 2.5k indexed · h-index 30

Nicholas J. Kuhn

123 papers receiving 2.3k citations

Peers

Nicholas J. Kuhn
Comparison fields: 5 of 129
  • Algebra and Number Theory 310
  • Mathematical Physics 560
  • Geometry and Topology 506
  • Discrete Mathematics and Combinatorics 124
  • Agronomy and Crop Science 302
Replace Yukio Doi with:
Yukio Doi Japan
Robert A. Steinberg United States
Koichi Sakamoto Japan
Lun Zhang China
Kentaro Ihara Japan
Michihiko Fujii Japan
О. В. Маркова Russia
Masako Satô Japan
Eun Kyoung Lee South Korea
Martin Lindner Germany
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Citations per field
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Citations per year

Countries citing papers authored by Nicholas J. Kuhn

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas J. Kuhn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicholas J. Kuhn. 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 Nicholas J. Kuhn. The network helps show where Nicholas J. Kuhn may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200513
2 200110
3 200029
4 199823
5 19952
6 19951
7 199523
8 199534
9 199411
10 199322
11 199141
12 199118
13 198862
14 198839
15 198412
16 19842
17 198415
18 19822
19 198233
20 19772

About Nicholas J. Kuhn

Nicholas J. Kuhn is a scholar working on Algebra and Number Theory, Mathematical Physics, Geometry and Topology, Discrete Mathematics and Combinatorics and Biochemistry, having authored 125 papers that have together received 2.5k indexed citations. Recurring topics across this work include Homotopy and Cohomology in Algebraic Topology (39 papers), Algebraic structures and combinatorial models (28 papers), Advanced Topics in Algebra (27 papers), Digestive system and related health (24 papers), Amino Acid Enzymes and Metabolism (11 papers), Pancreatic function and diabetes (11 papers), Finite Group Theory Research (10 papers) and Advanced Algebra and Geometry (9 papers). The work is most often cited by research in Algebra and Number Theory (310 citations), Mathematical Physics (560 citations), Geometry and Topology (506 citations), Discrete Mathematics and Combinatorics (124 citations) and Agronomy and Crop Science (302 citations). Nicholas J. Kuhn has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Adrian White, Simon Ward, Colin J. Wilde, John M. Lowenstein, Tom Young, M. Peaker, Michael J. Hopkins, Douglas C. Ravenel, Mark D. White and T. B. Mepham. Their work appears in journals such as Biochemical Journal, Biochemical Society Transactions, Transactions of the American Mathematical Society, Archives of Biochemistry and Biophysics and Mathematical Proceedings of the Cambridge Philosophical Society.

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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