George W. Nelson

15.1k total citations · 3 hit papers
78 papers, 8.7k citations indexed

About

George W. Nelson is a scholar working on Virology, Immunology and Nephrology. According to data from OpenAlex, George W. Nelson has authored 78 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Virology, 26 papers in Immunology and 22 papers in Nephrology. Recurrent topics in George W. Nelson's work include HIV Research and Treatment (27 papers), Renal Diseases and Glomerulopathies (22 papers) and Immune Cell Function and Interaction (21 papers). George W. Nelson is often cited by papers focused on HIV Research and Treatment (27 papers), Renal Diseases and Glomerulopathies (22 papers) and Immune Cell Function and Interaction (21 papers). George W. Nelson collaborates with scholars based in United States, France and United Kingdom. George W. Nelson's co-authors include Stephen J. O’Brien, Cheryl A. Winkler, Mary Carrington, Dilip Kondepudi, Maureen P. Martin, Jeffrey B. Kopp, James J. Goedert, Susan Buchbinder, David Vlahov and Keith Hoots and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

George W. Nelson

77 papers receiving 8.6k citations

Hit Papers

Association of Trypanolytic ApoL1 Variants with Kid... 1999 2026 2008 2017 2010 1999 2002 400 800 1.2k

Peers

George W. Nelson
Susan M. Lea United Kingdom
David R. Davies United States
James M. Cunningham United States
Robert R. Redfield United States
Kenneth G. C. Smith United Kingdom
James W. Young United States
Mark R. Wormald United Kingdom
Susan M. Lea United Kingdom
George W. Nelson
Citations per year, relative to George W. Nelson George W. Nelson (= 1×) peers Susan M. Lea

Countries citing papers authored by George W. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by George W. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George W. Nelson

This figure shows the co-authorship network connecting the top 25 collaborators of George W. Nelson. A scholar is included among the top collaborators of George W. 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 George W. Nelson. George W. Nelson 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
2.
An, Ping, Efe Sezgın, Gregory D. Kirk, et al.. (2021). APOL1 variant alleles associate with reduced risk for opportunistic infections in HIV infection. Communications Biology. 4(1). 284–284. 5 indexed citations
3.
Digitale, Jean, Perri C. Callaway, Maureen P. Martin, et al.. (2020). Association of Inhibitory Killer Cell Immunoglobulin-like Receptor Ligands With Higher Plasmodium falciparum Parasite Prevalence. The Journal of Infectious Diseases. 224(1). 175–183. 5 indexed citations
4.
So, Jae Young, Nicolas Skrypek, Howard H. Yang, et al.. (2020). Induction of DNMT3B by PGE2 and IL6 at Distant Metastatic Sites Promotes Epigenetic Modification and Breast Cancer Colonization. Cancer Research. 80(12). 2612–2627. 40 indexed citations
5.
Bhimma, Rajendra, Victor A. David, Hoosen Coovadia, et al.. (2018). NPHS2 V260E Is a Frequent Cause of Steroid-Resistant Nephrotic Syndrome in Black South African Children. Kidney International Reports. 3(6). 1354–1362. 14 indexed citations
6.
Johnson, Randall C., George W. Nelson, Jean‐François Zagury, & Cheryl A. Winkler. (2015). ALDsuite: Dense marker MALD using principal components of ancestral linkage disequilibrium. BMC Genetics. 16(1). 23–23. 2 indexed citations
7.
Limou, Sophie, George W. Nelson, Laurence Lecordier, et al.. (2015). Sequencing rare and common APOL1 coding variants to determine kidney disease risk. Kidney International. 88(4). 754–763. 22 indexed citations
8.
Limou, Sophie, George W. Nelson, Jeffrey B. Kopp, & Cheryl A. Winkler. (2014). APOL1 Kidney Risk Alleles: Population Genetics and Disease Associations. Advances in Chronic Kidney Disease. 21(5). 426–433. 140 indexed citations
9.
Atta, Mohamed G., Michelle M. Estrella, Michael Kuperman, et al.. (2012). HIV-associated nephropathy patients with and without apolipoprotein L1 gene variants have similar clinical and pathological characteristics. Kidney International. 82(3). 338–343. 41 indexed citations
10.
Genovese, Giulio, David J. Friedman, Michael D. Ross, et al.. (2010). Association of Trypanolytic ApoL1 Variants with Kidney Disease in African Americans. Science. 329(5993). 841–845. 1329 indexed citations breakdown →
11.
Freedman, Barry I., Andrew A. Hicks, Meredith A. Bostrom, et al.. (2009). Polymorphisms in the non-muscle myosin heavy chain 9 gene (MYH9) are strongly associated with end-stage renal disease historically attributed to hypertension in African Americans. Kidney International. 75(7). 736–745. 138 indexed citations
12.
An, Ping, Lihua Wang, George W. Nelson, et al.. (2007). Regulatory Polymorphisms in the Cyclophilin A Gene, PPIA, Accelerate Progression to AIDS. PLoS Pathogens. 3(6). e88–e88. 57 indexed citations
13.
Winkler, Cheryl A., Houria Hendel, Mary Carrington, et al.. (2004). Dominant Effects of CCR2-CCR5 Haplotypes in HIV-1 Disease Progression. JAIDS Journal of Acquired Immune Deficiency Syndromes. 37(4). 1534–1538. 25 indexed citations
14.
An, Ping, George W. Nelson, Lihua Wang, et al.. (2002). Modulating influence on HIV/AIDS by interacting RANTES gene variants. Proceedings of the National Academy of Sciences. 99(15). 10002–10007. 153 indexed citations
15.
Martin, Maureen P., George W. Nelson, Jeong-Hee Lee, et al.. (2002). Cutting Edge: Susceptibility to Psoriatic Arthritis: Influence of Activating Killer Ig-Like Receptor Genes in the Absence of Specific HLA-C Alleles. The Journal of Immunology. 169(6). 2818–2822. 278 indexed citations
16.
Driscoll, Carlos A., Marilyn Menotti‐Raymond, George W. Nelson, David B. Goldstein, & Stephen J. O’Brien. (2002). Genomic Microsatellites as Evolutionary Chronometers: A Test in Wild Cats. Genome Research. 12(3). 414–423. 79 indexed citations
17.
Carrington, Mary, George W. Nelson, & Stephen J. O’Brien. (2001). Considering genetic profiles in functional studies of immune responsiveness to HIV-1. Immunology Letters. 79(1-2). 131–140. 47 indexed citations
18.
An, Ping, Maureen P. Martin, George W. Nelson, et al.. (2000). Influence of CCR5 promoter haplotypes on AIDS progression in African–Americans. AIDS. 14(14). 2117–2122. 63 indexed citations
19.
Nelson, George W. & Alan S. Perelson. (1995). Modeling defective interfering virus therapy for AIDS: Conditions for DIV survival. Mathematical Biosciences. 125(2). 127–153. 25 indexed citations
20.
Nelson, George W. & Stephen A. Stohlman. (1993). Localization of the RNA-binding domain of mouse hepatitis virus nucleocapsid protein. Journal of General Virology. 74(9). 1975–1979. 44 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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