Jean M. Severin

1.4k total citations
19 papers, 898 citations indexed

About

Jean M. Severin is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jean M. Severin has authored 19 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Jean M. Severin's work include Signaling Pathways in Disease (3 papers), Peptidase Inhibition and Analysis (3 papers) and Protease and Inhibitor Mechanisms (3 papers). Jean M. Severin is often cited by papers focused on Signaling Pathways in Disease (3 papers), Peptidase Inhibition and Analysis (3 papers) and Protease and Inhibitor Mechanisms (3 papers). Jean M. Severin collaborates with scholars based in United States, United Kingdom and Sweden. Jean M. Severin's co-authors include Thomas F. Holzman, Stephen W. Fesik, David G. Nettesheim, Philip J. Hajduk, Karl A. Walter, Robert Meadows, Edward T. Olejniczak, Earl J. Gubbins, Andrew M. Petros and Robert L. Simmer and has published in prestigious journals such as Journal of the American Chemical Society, Molecular Cell and Biochemistry.

In The Last Decade

Jean M. Severin

19 papers receiving 844 citations

Peers

Jean M. Severin
Ana Negri Spain
David J. Augeri United States
Walter H.J. Ward United Kingdom
Ursula Egner Germany
Till Maurer Germany
T.C. Appleby United States
Bohdan Waszkowycz United Kingdom
Pramod P. Mehta United States
Christopher Pargellis United States
Guixian Jin United States
Ana Negri Spain
Jean M. Severin
Citations per year, relative to Jean M. Severin Jean M. Severin (= 1×) peers Ana Negri

Countries citing papers authored by Jean M. Severin

Since Specialization
Citations

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

Fields of papers citing papers by Jean M. Severin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean M. Severin. 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 Jean M. Severin. The network helps show where Jean M. Severin may publish in the future.

Co-authorship network of co-authors of Jean M. Severin

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

All Works

19 of 19 papers shown
1.
Luo, Feng, Nathan R. Rustay, Terese Seifert, et al.. (2010). Magnetic Resonance Imaging Detection and Time Course of Cerebral Microhemorrhages during Passive Immunotherapy in Living Amyloid Precursor Protein Transgenic Mice. Journal of Pharmacology and Experimental Therapeutics. 335(3). 580–588. 22 indexed citations
2.
Stewart, Kent D., Kevin Steffy, John E. Harlan, et al.. (2007). Design and characterization of an engineered gp41 protein from human immunodeficiency virus-1 as a tool for drug discovery. Journal of Computer-Aided Molecular Design. 21(1-3). 121–130. 4 indexed citations
3.
Huth, Jeffrey R., Danying Song, Renaldo Mendoza, et al.. (2007). Toxicological Evaluation of Thiol-Reactive Compounds Identified Using a La Assay To Detect Reactive Molecules by Nuclear Magnetic Resonance. Chemical Research in Toxicology. 20(12). 1752–1759. 64 indexed citations
4.
Kage, Karen, Paul L. Richardson, Linda Traphagen, et al.. (2006). A high throughput fluorescent assay for measuring the activity of fatty acid amide hydrolase. Journal of Neuroscience Methods. 161(1). 47–54. 21 indexed citations
5.
Muchmore, Steven W., Richard A. Smith, Andrew O. Stewart, et al.. (2006). Crystal Structures of Human Adenosine Kinase Inhibitor Complexes Reveal Two Distinct Binding Modes. Journal of Medicinal Chemistry. 49(23). 6726–6731. 23 indexed citations
7.
Han, Edward K., Christopher Butler, Haichao Zhang, et al.. (2005). Chkl binds and phosphorylates BAD protein.. PubMed. 24(6). 3907–10. 5 indexed citations
8.
Sanders, William J., V. Nienaber, Claude G. Lerner, et al.. (2004). Discovery of Potent Inhibitors of Dihydroneopterin Aldolase Using CrystaLEAD High-Throughput X-ray Crystallographic Screening and Structure-Directed Lead Optimization. Journal of Medicinal Chemistry. 47(7). 1709–1718. 52 indexed citations
9.
Luo, Yan, Mary K. Joseph, Christopher Butler, et al.. (2001). Abrogation of G2 checkpoint specifically sensitize p53 defective cells to cancer chemotherapeutic agents.. PubMed. 21(1A). 23–8. 28 indexed citations
10.
Nienaber, V., Donald J. Davidson, Rohinton Edalji, et al.. (2000). Structure-directed discovery of potent non-peptidic inhibitors of human urokinase that access a novel binding subsite. Structure. 8(5). 553–563. 46 indexed citations
11.
Hajduk, Philip J., Arthur Gomtsyan, Stanley DiDomenico, et al.. (2000). Design of Adenosine Kinase Inhibitors from the NMR-Based Screening of Fragments. Journal of Medicinal Chemistry. 43(25). 4781–4786. 46 indexed citations
12.
Hajduk, Philip J., Steven A. Boyd, David G. Nettesheim, et al.. (2000). Identification of Novel Inhibitors of Urokinase via NMR-Based Screening. Journal of Medicinal Chemistry. 43(21). 3862–3866. 53 indexed citations
13.
Bussiere, Dirksen E., Steven Pratt, Leonard Katz, et al.. (1998). The Structure of VanX Reveals a Novel Amino-Dipeptidase Involved in Mediating Transposon-Based Vancomycin Resistance. Molecular Cell. 2(1). 75–84. 69 indexed citations
14.
Yu, Liping, Andrew M. Petros, Arndt Schnuchel, et al.. (1997). Solution structure of an rRNA methyltransferase (ErmAM) that confers macrolide-lincosamide-streptogramin antibiotic resistance. Nature Structural Biology. 4(6). 483–489. 77 indexed citations
15.
Hajduk, Philip J., George S. Sheppard, David G. Nettesheim, et al.. (1997). Discovery of Potent Nonpeptide Inhibitors of Stromelysin Using SAR by NMR. Journal of the American Chemical Society. 119(25). 5818–5827. 220 indexed citations
16.
Meadows, Robert, David G. Nettesheim, Robert X. Xu, et al.. (1993). Three-dimensional structure of the FK506 binding protein/ascomycin complex in solution by heteronuclear three- and four-dimensional NMR. Biochemistry. 32(3). 754–765. 62 indexed citations
17.
Edalji, Rohinton, Edward Tam, Steven Pratt, et al.. (1992). High-level expression of recombinant human FK-binding protein from a fusion precursor. Journal of Protein Chemistry. 11(3). 213–223. 19 indexed citations
18.
Neri, Placido, Robert Meadows, Gerd Gemmecker, et al.. (1991). 1H,13C and 15N backbone assignments of cyclophilin when bound to cyclosporin A (CsA) and preliminary structural characterization of the CsA binding site. FEBS Letters. 294(1-2). 81–88. 24 indexed citations
19.
Dukovich, Mitchell, et al.. (1986). Stimulation of fibroblast proliferation and prostaglandin production by purified recombinant murine interleukin 1. Clinical Immunology and Immunopathology. 38(3). 381–389. 45 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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