Cherie L. Holcomb

1.8k total citations
21 papers, 1.3k citations indexed

About

Cherie L. Holcomb is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Cherie L. Holcomb has authored 21 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Cell Biology. Recurrent topics in Cherie L. Holcomb's work include T-cell and B-cell Immunology (9 papers), Cellular transport and secretion (5 papers) and Immune Cell Function and Interaction (4 papers). Cherie L. Holcomb is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Cellular transport and secretion (5 papers) and Immune Cell Function and Interaction (4 papers). Cherie L. Holcomb collaborates with scholars based in United States, Switzerland and Netherlands. Cherie L. Holcomb's co-authors include Kevin Redding, Robert S. Fuller, H P Moore, William J. Hansen, Yu Chen, Randy Schekman, Georjana Barnes, Jasper Rine, Bryan Höglund and Linda Hicke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Molecular and Cellular Biology.

In The Last Decade

Cherie L. Holcomb

20 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cherie L. Holcomb United States 14 778 512 219 94 92 21 1.3k
Paulo S. Ribeiro United Kingdom 15 646 0.8× 568 1.1× 317 1.4× 112 1.2× 61 0.7× 20 1.5k
Joseph T. Tseng Taiwan 26 1.0k 1.3× 276 0.5× 326 1.5× 40 0.4× 75 0.8× 52 1.6k
Jordan A. Shavit United States 19 811 1.0× 386 0.8× 179 0.8× 83 0.9× 59 0.6× 67 1.5k
Sébastien Gaumer France 13 587 0.8× 248 0.5× 123 0.6× 78 0.8× 33 0.4× 23 1.0k
Laurent Baricault France 17 1.6k 2.0× 158 0.3× 179 0.8× 161 1.7× 28 0.3× 22 1.9k
M J Clemens United Kingdom 19 1.0k 1.3× 155 0.3× 327 1.5× 84 0.9× 41 0.4× 33 1.6k
Shafi Kuchay United States 18 849 1.1× 365 0.7× 84 0.4× 95 1.0× 32 0.3× 24 1.3k
Annamaria Ruggiano United Kingdom 11 813 1.0× 646 1.3× 72 0.3× 88 0.9× 51 0.6× 15 1.2k
Catherine A. Loynes United Kingdom 15 587 0.8× 711 1.4× 953 4.4× 104 1.1× 25 0.3× 20 1.8k
Derrick Sek Tong Ong Singapore 15 551 0.7× 264 0.5× 168 0.8× 213 2.3× 38 0.4× 22 1.2k

Countries citing papers authored by Cherie L. Holcomb

Since Specialization
Citations

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

Fields of papers citing papers by Cherie L. Holcomb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cherie L. Holcomb. 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 Cherie L. Holcomb. The network helps show where Cherie L. Holcomb may publish in the future.

Co-authorship network of co-authors of Cherie L. Holcomb

This figure shows the co-authorship network connecting the top 25 collaborators of Cherie L. Holcomb. A scholar is included among the top collaborators of Cherie L. Holcomb based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cherie L. Holcomb. Cherie L. Holcomb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cavalli, Giulio, Masahiro Hayashi, Ying Jin, et al.. (2016). MHC class II super-enhancer increases surface expression of HLA-DR and HLA-DQ and affects cytokine production in autoimmune vitiligo. Proceedings of the National Academy of Sciences. 113(5). 1363–1368. 72 indexed citations
2.
Yamamoto, Fumiko, Bryan Höglund, Marcelo Fernández-Viña, et al.. (2015). Very high resolution single pass HLA genotyping using amplicon sequencing on the 454 next generation DNA sequencers: Comparison with Sanger sequencing. Human Immunology. 76(12). 910–916. 6 indexed citations
3.
4.
Hill‐Burns, Erin M., Cyrus P. Zabetian, Stewart A. Factor, et al.. (2013). Association of Parkinson Disease with Structural and Regulatory Variants in the HLA Region. The American Journal of Human Genetics. 93(5). 984–993. 127 indexed citations
5.
Trachtenberg, Elizabeth & Cherie L. Holcomb. (2013). Next-Generation HLA Sequencing Using the 454 GS FLX System. Methods in molecular biology. 1034. 197–219. 7 indexed citations
6.
Moonsamy, Priscilla, Persia Bonella, Cherie L. Holcomb, et al.. (2013). High throughput HLA genotyping using 454 sequencing and the Fluidigm Access Array™ system for simplified amplicon library preparation. Tissue Antigens. 81(3). 141–149. 130 indexed citations
7.
Santis, Dianne De, Jamie L. Duke, Cherie L. Holcomb, et al.. (2013). 16th IHIW : Review of HLA typing by NGS. International Journal of Immunogenetics. 40(1). 72–76. 62 indexed citations
8.
Holcomb, Cherie L., et al.. (2012). 11-OR. Human Immunology. 73. 10–10. 1 indexed citations
9.
Holcomb, Cherie L., et al.. (2012). 12-OR. Human Immunology. 73. 10–10. 4 indexed citations
10.
Moonsamy, Priscilla, Persia Bonella, Timothy C. Williams, et al.. (2011). 201-P Use of the Fluidigm® access Array™ system provides simplified amplicon library preparation in next generation sequencing for high throughput HLA genotyping. Human Immunology. 72. S142–S142. 1 indexed citations
11.
12.
Brems-Eskildsen, Anne Sofie, Karsten Zieger, Helle Toldbod, et al.. (2010). Prediction and diagnosis of bladder cancer recurrence based on urinary content of hTERT, SENP1, PPP1CA, and MCM5 transcripts. BMC Cancer. 10(1). 646–646. 56 indexed citations
13.
Holcomb, Cherie L., et al.. (1996). CERVICAL CANCER CONTROL.. PubMed. 15. 108–12. 8 indexed citations
14.
Chen, Yu, Cherie L. Holcomb, & H P Moore. (1993). Expression and localization of two low molecular weight GTP-binding proteins, Rab8 and Rab10, by epitope tag.. Proceedings of the National Academy of Sciences. 90(14). 6508–6512. 137 indexed citations
15.
Orci, Lelio, Mariella Ravazzola, P. Mêda, et al.. (1991). Mammalian Sec23p homologue is restricted to the endoplasmic reticulum transitional cytoplasm.. Proceedings of the National Academy of Sciences. 88(19). 8611–8615. 150 indexed citations
16.
Holcomb, Cherie L., et al.. (1988). Secretory vesicles externalize the major plasma membrane ATPase in yeast.. The Journal of Cell Biology. 106(3). 641–648. 59 indexed citations
17.
Holcomb, Cherie L., et al.. (1987). Isolation of secretory vesicles from Saccharomyces cerevisiae. Analytical Biochemistry. 166(2). 328–334. 26 indexed citations
18.
Boyer, Thomas, et al.. (1984). Studies of the relationship between the catalytic activity and binding of non-substrate ligands by the glutathione S-transferases. Biochemical Journal. 217(1). 179–185. 65 indexed citations
19.
Barnes, Georjana, William J. Hansen, Cherie L. Holcomb, & Jasper Rine. (1984). Asparagine-Linked Glycosylation in Saccharomyces cerevisiae: Genetic Analysis of an Early Step. Molecular and Cellular Biology. 4(11). 2381–2388. 33 indexed citations
20.
Barnes, Georjana, William J. Hansen, Cherie L. Holcomb, & Jasper Rine. (1984). Asparagine-linked glycosylation in Saccharomyces cerevisiae: genetic analysis of an early step.. Molecular and Cellular Biology. 4(11). 2381–2388. 96 indexed citations

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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