Jeffrey Voss

659 total citations
9 papers, 543 citations indexed

About

Jeffrey Voss is a scholar working on Molecular Biology, Oncology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jeffrey Voss has authored 9 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jeffrey Voss's work include Protein Kinase Regulation and GTPase Signaling (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). Jeffrey Voss is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), Pituitary Gland Disorders and Treatments (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). Jeffrey Voss collaborates with scholars based in United States, United Kingdom and Japan. Jeffrey Voss's co-authors include Michael G. Rosenfeld, Sarah E. Flynn, Laura A. B. Wilson, Michael S. Kapiloff, Holly A. Ingraham, Vivian R. Albert, Ursula Storb, Erik Selsing, Eric R. Goedken and Christopher M. Harris and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Jeffrey Voss

9 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffrey Voss United States	8	328	158	133	73	66	9	543
Martin Flack United States	8	211 0.6×	190 1.2×	112 0.8×	47 0.6×	50 0.8×	8	555
Adele J. Filson United States	10	496 1.5×	46 0.3×	159 1.2×	65 0.9×	26 0.4×	11	637
Anthony J. Saporita United States	11	523 1.6×	69 0.4×	134 1.0×	176 2.4×	124 1.9×	16	781
J. Szpirer Belgium	15	305 0.9×	42 0.3×	162 1.2×	39 0.5×	39 0.6×	34	457
Darya Burakov United States	8	683 2.1×	67 0.4×	332 2.5×	95 1.3×	85 1.3×	9	897
Jason Beliakoff United States	10	455 1.4×	31 0.2×	158 1.2×	86 1.2×	73 1.1×	11	596
S. Fischer France	11	224 0.7×	50 0.3×	45 0.3×	134 1.8×	114 1.7×	19	424
Joseph Zachwieja United States	8	273 0.8×	84 0.5×	46 0.3×	122 1.7×	70 1.1×	8	406
Merja A. Helenius Finland	9	227 0.7×	61 0.4×	74 0.6×	67 0.9×	19 0.3×	9	441
Lana Stolarsky United States	7	406 1.2×	61 0.4×	61 0.5×	194 2.7×	40 0.6×	8	605

Countries citing papers authored by Jeffrey Voss

Since Specialization

Citations

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

Fields of papers citing papers by Jeffrey Voss

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeffrey Voss

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Voss. A scholar is included among the top collaborators of Jeffrey Voss 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 Jeffrey Voss. Jeffrey Voss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Goedken, Eric R., M.A. Argiriadi, David Banach, et al.. (2015). Tricyclic Covalent Inhibitors Selectively Target Jak3 through an Active Site Thiol. Journal of Biological Chemistry. 290(8). 4573–4589. 73 indexed citations

Edmunds, Jeremy J., Anna Ericsson, Kristine E. Frank, et al.. (2012). Design and synthesis of tricyclic cores for kinase inhibition. Bioorganic & Medicinal Chemistry Letters. 23(3). 693–698. 18 indexed citations

Goedken, Eric R., Viswanath Devanarayan, Christopher M. Harris, et al.. (2012). Minimum Significant Ratio of Selectivity Ratios (MSRSR) and Confidence in Ratio of Selectivity Ratios (CRSR): Quantitative Measures for Selectivity Ratios Obtained by Screening Assays. SLAS DISCOVERY. 17(7). 857–867. 10 indexed citations

Argiriadi, M.A., Eric R. Goedken, David Banach, et al.. (2012). Enabling structure-based drug design of Tyk2 through co-crystallization with a stabilizing aminoindazole inhibitor. BMC Structural Biology. 12(1). 22–22. 12 indexed citations

Paskind, Michael, et al.. (2000). Structure and promoter activity of the mouse CDC25A gene. Mammalian Genome. 11(12). 1063–1069. 7 indexed citations

Inada, K, Koji Oda, Hirotoshi Utsunomiya, et al.. (1993). Immunohistochemical expression of Pit-1 protein in human pituitary adenomas. Endocrine Pathology. 4(4). 201–204. 7 indexed citations

Osamura, R Y, Koji Oda, Hirotoshi Utsunomiya, et al.. (1993). Immunohistochemical Expression of PIT-1 Protein in Pituitary Glands of Human GRF Transgenic Mice: Its Relationship with Hormonal Expressions.. Endocrine Journal. 40(1). 133–139. 25 indexed citations

Ingraham, Holly A., Sarah E. Flynn, Jeffrey Voss, et al.. (1990). The POU-specific domain of Pit-1 is essential for sequence-specific, high affinity DNA binding and DNA-dependent Pit-1—Pit-1 interactions. Cell. 61(6). 1021–1033. 357 indexed citations

Selsing, Erik, Jeffrey Voss, & Ursula Storb. (1984). Immunoglobulin gene ‘remnant’ DNA - implications for antibody gene recombination. Nucleic Acids Research. 12(10). 4229–4246. 34 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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