Terry Farrah

10.7k citations

28 papers · 5.8k indexed · 2 hit papers · h-index 22

Impact in

Immunology top 1%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Response and Inflammation
Spectroscopy top 0.5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications

Papers in

Spectroscopy 13
- Advanced Proteomics Techniques and Applications 13
- Mass Spectrometry Techniques and Applications 8
Immunology 7
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 4

Co-authors: Craig A. Smith Raymond G. Goodwin Ruedi Aebersold Eric W. Deutsch Zhi Sun Robert L. Moritz Richard J. Armitage Oliver Rinner
Journals: PROTEOMICS (5 papers)Journal of Proteome Research (3 papers)Cell (3 papers)Journal of Virology (2 papers)European Journal of Immunology (2 papers)
Partner nations: United States Switzerland Germany

In The Last Decade

Terry Farrah

27 papers receiving 5.7k citations

Hit Papers

align trajectories log scale

A guided tour of the Trans‐Proteomic Pipeline 2010 · 601 citations

Peers

Countries citing papers authored by Terry Farrah

Since Specialization

Citations

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

Fields of papers citing papers by Terry Farrah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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20 of 20 papers shown

#	Work
1	ProbAnnoWeb and ProbAnnoPy: probabilistic annotation and gap-filling of metabolic reconstructions Bioinformatics ·Charles Penglaou, Terry Farrah, Matthew A. Richards, Michael Mundy, Evangelos Simeonidis, Nathan D. Price	2017	4
2	Parent-of-origin-specific signatures of de novo mutations Nature Genetics ·Jakob M. Goldmann, Wendy S.W. Wong, Michele Pinelli, Terry Farrah, Dale L. Bodian, Anna Stittrich, Gustavo Glusman, Lisenka E.L.M. Vissers, Alexander Hoischen, Jared C. Roach, Joseph G. Vockley, Joris A. Veltman, Benjamin D. Solomon, Christian Gilissen, John E. Niederhuber	2016	196
3	Tiered Human Integrated Sequence Search Databases for Shotgun Proteomics Journal of Proteome Research ·Eric W. Deutsch, Zhi Sun, David Campbell, Pierre‐Alain Binz, Terry Farrah, David Shteynberg, Luis Mendoza, Gilbert S. Omenn, Robert L. Moritz	2016	18
4	Identification of copy number variants in whole-genome data using Reference Coverage Profiles Frontiers in Genetics ·Gustavo Glusman, Eswar Marcharla, Varsha Dhankani, Max Robinson, Terry Farrah, Denise E. Mauldin, Anna Stittrich, Seth A. Ament, Jared C. Roach, Mary E. Brunkow, Dale L. Bodian, Joseph G. Vockley, Ilya Shmulevich, John E. Niederhuber, Leroy Hood	2015	15
5	A standardized framing for reporting protein identifications in mzIdentML 1.2 PROTEOMICS ·Sean L. Seymour, Terry Farrah, Pierre‐Alain Binz, Robert J. Chalkley, John S. Cottrell, Brian C. Searle, David L. Tabb, Juan Antonio Vizcaíno, Gorka Prieto, Julian Uszkoreit, Martin Eisenacher, Salvador Martínez‐Bartolomé, Fawaz Ghali, Andrew R. Jones	2014	16
6	Using PeptideAtlas, SRMAtlas, and PASSEL: Comprehensive Resources for Discovery and Targeted Proteomics Current Protocols in Bioinformatics ·Ulrike Kusebauch, Eric W. Deutsch, David Campbell, Zhi Sun, Terry Farrah, Robert L. Moritz	2014	53
7	The Mtb Proteome Library: A Resource of Assays to Quantify the Complete Proteome of Mycobacterium tuberculosis Cell Host & Microbe ·Olga T. Schubert, Jeppe Mouritsen, Christina Ludwig, Hannes Röst, George Rosenberger, Patrick Kobina Arthur, Manfred Claassen, David Campbell, Zhi Sun, Terry Farrah, Martin Gengenbacher, Alessio Maiolica, Stefan H. E. Kaufmann, Robert L. Moritz, Ruedi Aebersold	2013	139
8	Reproducible Quantification of Cancer-Associated Proteins in Body Fluids Using Targeted Proteomics Science Translational Medicine ·Ruth Hüttenhain, Martin Soste, Nathalie Selevsek, Hannes Röst, Atul Sethi, Christine Carapito, Terry Farrah, Eric W. Deutsch, Ulrike Kusebauch, Robert L. Moritz, Emma Niméus, Oliver Rinner, Ruedi Aebersold	2012	193
9	Using the Human Plasma PeptideAtlas to Study Human Plasma Proteins Methods in molecular biology ·Terry Farrah, Eric W. Deutsch, Ruedi Aebersold	2011	22
10	A High-Confidence Human Plasma Proteome Reference Set with Estimated Concentrations in PeptideAtlas Molecular & Cellular Proteomics ·Terry Farrah, Eric W. Deutsch, Gilbert S. Omenn, David Campbell, Zhi Sun, Julie Bletz, Parag Mallick, Jonathan E. Katz, Johan Malmström, Reto Ossola, Julian D. Watts, Biaoyang Lin, Hui Zhang, Robert L. Moritz, Ruedi Aebersold	2011	383
11	A guided tour of the Trans‐Proteomic Pipeline PROTEOMICS ·Eric W. Deutsch, Luis Mendoza, David Shteynberg, Terry Farrah, Henry Lam, Natalie Tasman, Zhi Sun, Erik Nilsson, Brian Pratt, Bryan J. Prazen, Jimmy K. Eng, Daniel B. Martin, Alexey I. Nesvizhskii, Ruedi Aebersold Hit paper breakdown →	2010	601
12	Trans‐Proteomic Pipeline supports and improves analysis of electron transfer dissociation data sets PROTEOMICS ·Eric W. Deutsch, David Shteynberg, Henry Lam, Zhi Sun, Jimmy K. Eng, Christine Carapito, Priska D. von Haller, Natalie Tasman, Luis Mendoza, Terry Farrah, Ruedi Aebersold	2010	35
13	High-throughput generation of selected reaction-monitoring assays for proteins and proteomes Nature Methods ·Paola Picotti, Oliver Rinner, Saiful, Maor Shurgi, Terry Farrah, Bruno Domon, Holger Wenschuh, Ruedi Aebersold	2009	371
14	Protein motif recognition in DNA sequences containing indel errors. Darrell Conklin, Terry Farrah	1998	0
15	A Poxvirus-Encoded Semaphorin Induces Cytokine Production from Monocytes and Binds to a Novel Cellular Semaphorin Receptor, VESPR Immunity ·Michael R. Comeau, Richard D. Johnson, Robert DuBose, Yuntian Chen, Werner Dürbeck, Tim VandenBos, Linda Park, Terry Farrah, R. Mark L. Buller, Jeffrey I. Cohen, L Strockbine, Charles T. Rauch, Melanie K. Spriggs	1998	206
16	The TNF receptor superfamily of cellular and viral proteins: Activation, costimulation, and death Cell ·Craig A. Smith, Terry Farrah, Raymond G. Goodwin Hit paper breakdown →	1994	1640
17	Molecular and biological characterization of a ligand for CD27 defines a new family of cytokines with homology to tumor necrosis factor Cell ·Raymond G. Goodwin, Mark R. Alderson, Craig A. Smith, Richard J. Armitage, Tim VandenBos, R Jerzy, Teresa W. Tough, M A Schoenborn, Terri Davis‐Smith, White Ragsdale, Ben Falk, David Cosman, Elizabeth Baker, Grant R. Sutherland, Kenneth H. Grabstein, Terry Farrah, Judith G. Giri, M P Beckmann	1993	248
18	Molecular characterization of the early activation antigen CD69: A type II membrane glycoprotein related to a family of natural killer cell activation antigens European Journal of Immunology ·Steven F. Ziegler, Fred Ramsdell, Kathryn A. Hjerrild, Richard J. Armitage, Kenneth H. Grabstein, White Ragsdale, Terry Farrah, William C. Fanslow, Ethan M. Shevach, Mark R. Alderson	1993	132
19	Molecular cloning of a ligand for the inducible T cell gene 4‐1BB: a member of an emerging family of cytokines with homology to tumor necrosis factor European Journal of Immunology ·Raymond G. Goodwin, Wenie S. Din, Terri Davis‐Smith, Dirk Anderson, Steven D. Gimpel, Timothy A. Sato, Charles R. Maliszewski, Camilynn I. Brannan, Neal G. Copeland, Nancy A. Jenkins, Terry Farrah, Richard J. Armitage, William C. Fanslow, Craig A. Smith	1993	280
20	Molecular cloning of a ligand for the flt3flk-2 tyrosine kinase receptor: A proliferative factor for primitive hematopoietic cells Cell ·Stewart D. Lyman, Chao Zhang, Tim Vanden Bos, Peter de Vries, Ken Brasel, Brian Gliniak, A. Palano, Kathleen S. Picha, Hilary J. McKenna, Н.Ю. КОРЯГИНА, Frederick A. Fletcher, Eugene Maraskovsky, Terry Farrah, Yingying Song, Douglas E. Williams, M P Beckmann	1993	444

About Terry Farrah

Terry Farrah is a scholar working on Spectroscopy, Immunology, Molecular Biology, Virology and Oncology, having authored 28 papers that have together received 5.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (13 papers), Mass Spectrometry Techniques and Applications (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers), T-cell and B-cell Immunology (5 papers), Machine Learning in Bioinformatics (4 papers), Immune Cell Function and Interaction (4 papers), vaccines and immunoinformatics approaches (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology (2.0k citations), Spectroscopy (1.2k citations), Molecular Biology (3.0k citations), Cancer Research (610 citations) and Hematology (386 citations). Terry Farrah has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Craig A. Smith, Raymond G. Goodwin, Ruedi Aebersold, Eric W. Deutsch, Zhi Sun, Robert L. Moritz, Richard J. Armitage, Oliver Rinner, David Shteynberg and Luis Mendoza. Their work appears in journals such as PROTEOMICS, Journal of Proteome Research, Cell, Journal of Virology and European Journal of Immunology.

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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