Tim Hunkapiller

5.0k citations
36 papers · 4.3k · 2 hit papers · h-index 25

Impact in

Papers in

    • RNA and protein synthesis mechanisms 8
    • Genomics and Phylogenetic Studies 8
    • Glycosylation and Glycoproteins Research 4
    • T-cell and B-cell Immunology 9
    • Immune Cell Function and Interaction 7
    • Immunotherapy and Immune Responses 5

Tim Hunkapiller

36 papers receiving 3.9k citations

Tim Hunkapiller's Hit Papers

Hidden Markov models of biological primary sequence information. 1994 · 346 citations
3460+11+22Years since publication100200300400500

Peers

Tim Hunkapiller
Comparison fields: 5 of 142
  • Immunology 1.7k
  • Radiology, Nuclear Medicine and Imaging 846
  • Spectroscopy 543
  • Immunology and Allergy 168
  • Molecular Biology 2.0k
Replace Eric Bennett with:
Eric Bennett Denmark
Piers Nash Canada
Luisa Castagnoli Italy
J. Garnier France
Dean R. Madden United States
Ora Schueler‐Furman Israel
Philip Bradley United States
Pierre Legrain France
Byron Goldstein United States
Winona C. Barker United States
Tim Hunkapiller relative to Eric Bennett Denmark Eric Bennett's profile →
Citations per field
00.5×1.6×
Eric Bennett · 1×
Citations per year

Countries citing papers authored by Tim Hunkapiller

Since Specialization
Citations

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

Fields of papers citing papers by Tim Hunkapiller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Peptide Mass Maps: A Highly Informative Approach to Protein Identification
Hit paper breakdown →
1993542
2 1984380
3
Hidden Markov models of biological primary sequence information.
Hit paper breakdown →
1994346
4 1991279
5 1985262
6 1987257
7 1985252
8 1989246
9 1988208
10 1998169
11 1981123
12 1983121
13 1980120
14 1985113
15 1984104
16 1986100
17 198680
18 198280
19 198678
20 198575

About Tim Hunkapiller

Tim Hunkapiller is a scholar working on Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Hematology, having authored 36 papers that have together received 4.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), RNA and protein synthesis mechanisms (8 papers), Genomics and Phylogenetic Studies (8 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Blood groups and transfusion (3 papers). The work is most often cited by research in Immunology (1.7k citations), Radiology, Nuclear Medicine and Imaging (846 citations), Spectroscopy (543 citations), Immunology and Allergy (168 citations) and Molecular Biology (2.0k citations). Tim Hunkapiller has collaborated with scholars based in United States and Canada. Frequent co-authors include Leroy Hood, John R. Yates, Patrick R. Griffin, Joan Goverman, Yves Chauvin, Marcella A. McClure, Pierre Baldi, Ben F. Koop, Robert Kaiser and Marie Malissen. Their work appears in journals such as Nature, Cell, Science, Proceedings of the National Academy of Sciences and Methods in enzymology on CD-ROM/Methods in enzymology.

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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