Kevin E. Van Cott

825 citations
30 papers · 618 · h-index 17

Impact in

Papers in

    • Protein purification and stability 6
    • Viral Infectious Diseases and Gene Expression in Insects 6
    • Animal Genetics and Reproduction 9
    • Virus-based gene therapy research 6

Kevin E. Van Cott

30 papers receiving 595 citations

Peers

Kevin E. Van Cott
Comparison fields: 5 of 90
  • Hematology 72
  • Spectroscopy 106
  • Molecular Biology 399
  • Genetics 138
  • Surfaces, Coatings and Films 34
Replace Günter Iberer with:
Günter Iberer Austria
Paul Varley United Kingdom
Robert Dodge United States
Scott L. Klakamp United States
Sara Fortuna Italy
Zachary Varpness United States
Alexey Kopylov Russia
Annalisa Nicastri United Kingdom
Matteo Ardini Italy
LAUREN K. WOLF United States
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Citations per field
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Citations per year

Countries citing papers authored by Kevin E. Van Cott

Since Specialization
Citations

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

Fields of papers citing papers by Kevin E. Van Cott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin E. Van Cott. 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 Kevin E. Van Cott. The network helps show where Kevin E. Van Cott may publish in the future.

Co-authors

The 25 scholars most cited alongside Kevin E. Van Cott, 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 Kevin E. Van Cott Line = papers co-authored together Kevin E. Van Cott 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 201885
2 201052
3 199143
4 200240
5 200632
6 200931
7 199931
8 200830
9 200328
10 199426
11 200425
12 199724
13 199324
14 199623
15 201219
16 200118
17 199118
18 200513
19 201612
20 200410

About Kevin E. Van Cott

Kevin E. Van Cott is a scholar working on Molecular Biology, Genetics, Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 30 papers that have together received 618 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (9 papers), Virus-based gene therapy research (6 papers), Nonlinear Optical Materials Research (6 papers), Protein purification and stability (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Hemophilia Treatment and Research (3 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Hematology (72 citations), Spectroscopy (106 citations), Molecular Biology (399 citations), Genetics (138 citations) and Surfaces, Coatings and Films (34 citations). Kevin E. Van Cott has collaborated with scholars based in United States, Egypt and Canada. Frequent co-authors include William H. Velander, Roger D. Whitley, Judith X. Zhu-Shimoni, Thomas Waerner, William N. Drohan, Martin Vanderlaan, Henryk Luboń, James R. Heflin, Harry W. Gibson and F.C. Gwazdauskas. Their work appears in journals such as Journal of Chromatography A, Biomacromolecules, Transgenic Research, Langmuir and Electrophoresis.

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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