Kim L. Nelson

1.5k total citations
18 papers, 1.2k citations indexed

About

Kim L. Nelson is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Kim L. Nelson has authored 18 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Kim L. Nelson's work include Toxin Mechanisms and Immunotoxins (7 papers), Chemokine receptors and signaling (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Kim L. Nelson is often cited by papers focused on Toxin Mechanisms and Immunotoxins (7 papers), Chemokine receptors and signaling (4 papers) and Erythrocyte Function and Pathophysiology (3 papers). Kim L. Nelson collaborates with scholars based in Canada, United States and Australia. Kim L. Nelson's co-authors include J. Thomas Buckley, Srikumar M. Raja, Robert A. Brodsky, Galina L. Mukhina, Dzung B. Diep, Michael J. Borowitz, Shiyong Li, Rodney K. Tweten, Renée Mosi and Rebecca S.Y. Wong and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Biochemistry.

In The Last Decade

Kim L. Nelson

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim L. Nelson Canada 14 598 444 212 193 147 18 1.2k
Gábor Pál Hungary 25 761 1.3× 736 1.7× 193 0.9× 308 1.6× 89 0.6× 62 1.9k
Luc Reininger Switzerland 27 1.3k 2.1× 539 1.2× 150 0.7× 291 1.5× 80 0.5× 54 2.2k
Hiroto Kambara United States 18 852 1.4× 1.1k 2.5× 113 0.5× 87 0.5× 247 1.7× 26 2.0k
Elisa Leung Canada 17 313 0.5× 521 1.2× 102 0.5× 90 0.5× 172 1.2× 24 941
James M. Sodetz United States 26 1.1k 1.8× 702 1.6× 116 0.5× 651 3.4× 58 0.4× 65 2.0k
Gerald L. Waneck United States 23 781 1.3× 736 1.7× 135 0.6× 128 0.7× 36 0.2× 36 1.7k
Jacques Roland France 13 828 1.4× 328 0.7× 129 0.6× 89 0.5× 35 0.2× 34 1.2k
Ji Zhao United States 15 591 1.0× 926 2.1× 155 0.7× 163 0.8× 86 0.6× 21 1.6k
R M Jack United States 19 499 0.8× 370 0.8× 91 0.4× 102 0.5× 55 0.4× 34 1.1k
A F Esser United States 17 679 1.1× 374 0.8× 44 0.2× 160 0.8× 62 0.4× 28 1.1k

Countries citing papers authored by Kim L. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Kim L. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim L. Nelson

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

All Works

18 of 18 papers shown
1.
Hart, John, et al.. (2015). Falsely Incompatible B-cell Flow Cytometry Crossmatch After Pronase Treatment: A Case Report. Transplantation Proceedings. 47(3). 831–833. 6 indexed citations
2.
Mosi, Renée, Jennifer H. Cox, Marilyn C. Darkes, et al.. (2011). The molecular pharmacology of AMD11070: An orally bioavailable CXCR4 HIV entry inhibitor. Biochemical Pharmacology. 83(4). 472–479. 42 indexed citations
3.
Bodart, V., Marilyn C. Darkes, Jean Labrecque, et al.. (2009). Pharmacology of AMD3465: A small molecule antagonist of the chemokine receptor CXCR4. Biochemical Pharmacology. 78(8). 993–1000. 48 indexed citations
4.
Fricker, Simon P., Jennifer H. Cox, Marilyn C. Darkes, et al.. (2006). Characterization of the molecular pharmacology of AMD3100: A specific antagonist of the G-protein coupled chemokine receptor, CXCR4. Biochemical Pharmacology. 72(5). 588–596. 174 indexed citations
5.
Schols, Dominique, Kurt Vermeire, Sigrid Hatse, et al.. (2004). In vitro anti-HIV activity profile of AMD887, a novel CCR5 antagonist, in combination with the CXCR4 inhibitor AMD070. 5 indexed citations
6.
Kimanani, Ebi K., Daria Stypinski, Mark R. Stiles, et al.. (2000). A Contract Research Organization's Response to the New FDA Guidances for Bioequivalence/Bioavailability Studies for Orally Administered Drug Products. The Journal of Clinical Pharmacology. 40(10). 1102–1108. 35 indexed citations
7.
Brodsky, Robert A., Galina L. Mukhina, Shiyong Li, et al.. (2000). Improved Detection and Characterization of Paroxysmal Nocturnal Hemoglobinuria Using Fluorescent Aerolysin. American Journal of Clinical Pathology. 114(3). 459–466. 191 indexed citations
8.
Nelson, Kim L. & J. Thomas Buckley. (2000). Channel Formation by the Glycosylphosphatidylinositol-anchored Protein Binding Toxin Aerolysin Is Not Promoted by Lipid Rafts. Journal of Biological Chemistry. 275(26). 19839–19843. 33 indexed citations
9.
Diep, Dzung B., et al.. (1999). Expression and properties of an aerolysin-Clostridium septicum alpha toxin hybrid protein. Mol Microbiol. 2 indexed citations
10.
Gordon, V M, Kim L. Nelson, J. Thomas Buckley, et al.. (1999). Clostridium septicum Alpha Toxin Uses Glycosylphosphatidylinositol-anchored Protein Receptors. Journal of Biological Chemistry. 274(38). 27274–27280. 112 indexed citations
11.
Brodsky, Robert A., et al.. (1999). Resistance of Paroxysmal Nocturnal Hemoglobinuria Cells to the Glycosylphosphatidylinositol-Binding Toxin Aerolysin. Blood. 93(5). 1749–1756. 6 indexed citations
12.
Diep, Dzung B., et al.. (1999). Expression and properties of an aerolysin–Clostridium septicum alpha toxin hybrid protein. Molecular Microbiology. 31(3). 785–794. 30 indexed citations
13.
Nelson, Kim L., Robert A. Brodsky, & J. Thomas Buckley. (1999). Channels formed by subnanomolar concentrations of the toxin aerolysin trigger apoptosis of T lymphomas. Cellular Microbiology. 1(1). 69–74. 63 indexed citations
14.
Brodsky, Robert A., et al.. (1999). Resistance of Paroxysmal Nocturnal Hemoglobinuria Cells to the Glycosylphosphatidylinositol-Binding Toxin Aerolysin. Blood. 93(5). 1749–1756. 83 indexed citations
15.
Rossjohn, Jamie, Srikumar M. Raja, Kim L. Nelson, et al.. (1998). Movement of a Loop in Domain 3 of Aerolysin Is Required for Channel Formation. Biochemistry. 37(2). 741–746. 30 indexed citations
16.
Diep, Dzung B., et al.. (1998). Glycosylphosphatidylinositol Anchors of Membrane Glycoproteins Are Binding Determinants for the Channel-forming Toxin Aerolysin. Journal of Biological Chemistry. 273(4). 2355–2360. 153 indexed citations
17.
Nelson, Kim L., Srikumar M. Raja, & J. Thomas Buckley. (1997). The Glycosylphosphatidylinositol-anchored Surface Glycoprotein Thy-1 Is a Receptor for the Channel-forming Toxin Aerolysin. Journal of Biological Chemistry. 272(18). 12170–12174. 99 indexed citations
18.
Aschauer, Wolfgang, et al.. (1997). The erythrocyte receptor for the channel‐forming toxin aerolysin is a novel glycosylphosphatidylinositol‐anchored protein. Molecular Microbiology. 25(2). 343–350. 48 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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