Tim Hunkapiller

5.0k citations

35 papers · 3.9k indexed · 2 hit papers · h-index 24

Impact in

Immunology top 1%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Radiology, Nuclear Medicine and Imaging top 2%
- Monoclonal and Polyclonal Antibodies Research

Papers in

Immunology 13
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 7
- Immunotherapy and Immune Responses 5
- interferon and immune responses 3
Virology 2

Co-authors: Leroy Hood John R. Yates Patrick R. Griffin Joan Goverman Yves Chauvin Marcella A. McClure Pierre Baldi Ben F. Koop
Journals: Nature (5 papers)Cell (4 papers)Science (4 papers)Proceedings of the National Academy of Sciences (3 papers)Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)
Partner nations: United States Canada

In The Last Decade

Tim Hunkapiller

35 papers receiving 3.7k citations

Hit Papers

align trajectories log scale

Hidden Markov models of biological primary sequence information. 1994 · 321 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

1994 Proceedings of the National Academy of Sciences
1993 Analytical Biochemistry

Peers

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-authorship network

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

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20 of 20 papers shown

#	Work
1	Biological information signal processor Elaine Chow, Tim Hunkapiller, John C. Peterson, Michael S. Waterman	2002	41
2	Differential Tolerance Is Induced in T Cells Recognizing Distinct Epitopes of Myelin Basic Protein Immunity ·J. C. Corbin, Angela Paez, Tim Hunkapiller, S. Harvey Mudd, Thea Brabb, Patrycja J Koszykowska, Craig Beeson, Joan Goverman	1998	162
3	Sensitivity and Selectivity in Protein Similarity Searches: A Comparison of Smith–Waterman in Hardware to BLAST and FASTA Genomics ·Eugene G. Shpaer, Max Robinson, David P. Yee, Alex Wicaksono, Robert Mines, Tim Hunkapiller	1996	67
4	Hidden Markov models of biological primary sequence information. Proceedings of the National Academy of Sciences ·Pierre Baldi, Yves Chauvin, Tim Hunkapiller, Marcella A. McClure Hit paper breakdown →	1994	321
5	Peptide Mass Maps: A Highly Informative Approach to Protein Identification Analytical Biochemistry ·John R. Yates, 吉来李, Patrick R. Griffin, Tim Hunkapiller Hit paper breakdown →	1993	503
6	[11] Specific primer-directed DNA sequence analysis using automated fluorescence detection and labeled primers Methods in enzymology on CD-ROM/Methods in enzymology ·Robert Kaiser, Tim Hunkapiller, Cheryl Heiner, Ran Avrahami	1993	2
7	Hidden Markov Models in Molecular Biology: New Algorithms and Applications CaltechAUTHORS (California Institute of Technology) ·Pierre Baldi, Yves Chauvin, Tim Hunkapiller, Marcella A. McClure	1993	11
8	Sequence accuracy of large DNA sequencing projects DNA sequence ·W. Q. Chen, Tim Hunkapiller	1992	9
9	Model genomes: The benefits of analysing homologous human and mouse sequences Trends in biotechnology ·Leroy Hood, Ben F. Koop, Joan Goverman, Tim Hunkapiller	1992	10
10	Lims and the Human Genome Project Bio/Technology ·Tim Hunkapiller, L Hood	1991	8
11	Large-scale DNA sequencing Current Opinion in Biotechnology ·Tim Hunkapiller, Robert Kaiser, Ben F. Koop, Leroy Hood	1991	15
12	Diversity of the Immunoglobulin Gene Superfamily Advances in immunology ·Tim Hunkapiller, Leroy Hood	1989	220
13	Implications of the Diversity of the Immunoglobulin Gene Superfamily Cold Spring Harbor Symposia on Quantitative Biology ·Tim Hunkapiller, Joan Goverman, Ben F. Koop, Leroy Hood	1989	20
14	Comparison of exon 5 sequences from 35 class I genes of the BALB/c mouse. The Journal of Experimental Medicine ·Kurt Brorson, S. Hunt, Tim Hunkapiller, G. GÉNIN, Hilde Cheroutre, Deborah A. Nickerson, Leroy Hood	1989	30
15	Nucleotide sequence of dengue 2 RNA and comparison of the encoded proteins with those of other flaviviruses Virology ·Nicole Sangha, 程卫青, Tim Hunkapiller, Joel M. Dalrymple, James H. Strauss, Ellen G. Strauss	1988	200
16	Immunology: The growing immunoglobulin gene superfamily Nature ·Tim Hunkapiller, Leroy Hood	1986	72
17	The T cell differentiation antigen Leu-2/T8 is homologous to immunoglobulin and T cell receptor variable regions Cell ·Vikas P. Sukhatme, Kurt C. Sizer, Amy Cheng Vollmer, Tim Hunkapiller, Jane R. Parnes	1985	66
18	Expression of IgD may use both DNA rearrangement and RNA splicing mechanisms Proceedings of the National Academy of Sciences ·G. Tutungi, John Rogers, Tim Hunkapiller, P. Early, Carol Nottenburg, Irving L. Weissman, Hervé Bazin, Randolph Wall, 将平國府島	1981	110
19	The joining of V and J gene segments creates antibody diversity Nature ·Martin Weigert, Robert P. Perry, Dawn E. Kelley, Tim Hunkapiller, (unknown), Leroy Hood	1980	116
20	The Eastern Chipmunk in Central Oklahoma, with Validation of Howell's 1929 Red Fork Record Proceedings of the Oklahoma Academy of Science ·Jingsi Li, Frederick Charles Coppleston, Albert P. Blair, Tim Hunkapiller	1977	3

About Tim Hunkapiller

Tim Hunkapiller is a scholar working on Immunology, Virology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Spectroscopy, having authored 35 papers that have together received 3.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Genomics and Phylogenetic Studies (8 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), RNA and protein synthesis mechanisms (8 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (5 papers), Glycosylation and Glycoproteins Research (4 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Immunology (1.6k citations), Radiology, Nuclear Medicine and Imaging (817 citations), Spectroscopy (496 citations), Molecular Biology (1.9k citations) and Immunology and Allergy (162 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, Marie Malissen and Robert Kaiser. 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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