J. Lee Nelson

2.2k total citations
19 papers, 990 citations indexed

About

J. Lee Nelson is a scholar working on Immunology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, J. Lee Nelson has authored 19 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Pathology and Forensic Medicine and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in J. Lee Nelson's work include Reproductive System and Pregnancy (6 papers), Systemic Sclerosis and Related Diseases (6 papers) and Systemic Lupus Erythematosus Research (3 papers). J. Lee Nelson is often cited by papers focused on Reproductive System and Pregnancy (6 papers), Systemic Sclerosis and Related Diseases (6 papers) and Systemic Lupus Erythematosus Research (3 papers). J. Lee Nelson collaborates with scholars based in United States, Canada and South Africa. J. Lee Nelson's co-authors include Thomas A. Spies, Hani El‐Gabalawy, Veronika Groh, Keith Sullivan, Rainer Storb, DongKai Zhen, Kirby L. Johnson, Daniel E. Fürst, Peter A. McSweeney and Diana W. Bianchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PEDIATRICS.

In The Last Decade

J. Lee Nelson

18 papers receiving 951 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Lee Nelson United States 13 559 189 142 127 117 19 990
Marco Rabusin Italy 15 195 0.3× 359 1.9× 168 1.2× 123 1.0× 125 1.1× 43 818
Arnalda Lanfranchi Italy 18 509 0.9× 319 1.7× 128 0.9× 100 0.8× 198 1.7× 56 1.2k
M. Burk Germany 15 300 0.5× 188 1.0× 154 1.1× 90 0.7× 209 1.8× 21 944
Wolfgang Emminger Austria 15 287 0.5× 243 1.3× 38 0.3× 67 0.5× 112 1.0× 39 816
Paul G. Schlegel Germany 17 321 0.6× 219 1.2× 70 0.5× 44 0.3× 192 1.6× 38 764
Diane George United States 13 391 0.7× 381 2.0× 65 0.5× 108 0.9× 393 3.4× 15 1.0k
Mario H. J. Vogt Netherlands 15 497 0.9× 227 1.2× 115 0.8× 19 0.1× 86 0.7× 18 964
К. И. Киргизов Russia 11 427 0.8× 185 1.0× 266 1.9× 49 0.4× 311 2.7× 83 982
Sadao Tokimasa Japan 17 191 0.3× 247 1.3× 79 0.6× 90 0.7× 250 2.1× 39 986
RA Nash United States 17 521 0.9× 948 5.0× 91 0.6× 96 0.8× 272 2.3× 33 1.4k

Countries citing papers authored by J. Lee Nelson

Since Specialization
Citations

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

Fields of papers citing papers by J. Lee Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Lee Nelson

This figure shows the co-authorship network connecting the top 25 collaborators of J. Lee Nelson. A scholar is included among the top collaborators of J. Lee 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 J. Lee Nelson. J. Lee Nelson 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.
Duvvuri, Bhargavi, Ting Wang, Marvin J. Fritzler, et al.. (2022). N-Formyl Methionine Peptide-Mediated Neutrophil Activation in Systemic Sclerosis. Frontiers in Immunology. 12. 785275–785275. 35 indexed citations
2.
Shenoi, Susan, et al.. (2017). Juvenile idiopathic arthritis in relation to perinatal and maternal characteristics: a case control study. Pediatric Rheumatology. 15(1). 36–36. 14 indexed citations
3.
Stevens, Anne M., Sami B. Kanaan, Kathryn S. Torok, et al.. (2016). Brief Report: HLA–DRB1, DQA1, and DQB1 in Juvenile‐Onset Systemic Sclerosis. Arthritis & Rheumatology. 68(11). 2772–2777. 13 indexed citations
4.
Inamoto, Yoshihiro, Barry E. Storer, Effie W. Petersdorf, et al.. (2013). Incidence, risk factors, and outcomes of sclerosis in patients with chronic graft-versus-host disease. Blood. 121(25). 5098–5103. 73 indexed citations
5.
Mueller, Beth A., J. Lee Nelson, & Polly A. Newcomb. (2012). Intrauterine environment and multiple sclerosis: a population- based case-control study. Multiple Sclerosis Journal. 19(1). 106–111. 21 indexed citations
6.
Waldorf, Kristina M. Adams, Zhen Yan, Anne M. Stevens, & J. Lee Nelson. (2006). The changing maternal “self” hypothesis: A mechanism for maternal tolerance of the fetus. Journal of Reproductive Immunology. 71(2). 162–162. 4 indexed citations
7.
Giacomelli, Roberto, et al.. (2004). Gamma/delta T cells in placenta and skin: their different functions may support the paradigm of microchimerism in systemic sclerosis.. PubMed. 22(3 Suppl 33). S28–30. 13 indexed citations
8.
Groh, Veronika, et al.. (2003). Stimulation of T cell autoreactivity by anomalous expression of NKG2D and its MIC ligands in rheumatoid arthritis. Proceedings of the National Academy of Sciences. 100(16). 9452–9457. 424 indexed citations
9.
Johnson, Kirby L., J. Lee Nelson, Daniel E. Fürst, et al.. (2001). Fetal cell microchimerism in tissue from multiple sites in women with systemic sclerosis. Arthritis & Rheumatism. 44(8). 1848–1854. 113 indexed citations
10.
Nelson, J. Lee. (1999). Microchimerism and scleroderma. Current Rheumatology Reports. 1(1). 15–21. 15 indexed citations
11.
Nelson, J. Lee. (1998). Microchimerism and the pathogenesis of systemic sclerosis. Current Opinion in Rheumatology. 10(6). 564–571. 39 indexed citations
12.
Nelson, J. Lee, et al.. (1997). Pre-existing autoimmune disease in patients with long-term survival after allogeneic bone marrow transplantation.. PubMed. 48. 23–9. 122 indexed citations
13.
Nelson, J. Lee, et al.. (1994). Maternal‐fetal disparity in HLA class II alloantigens and the pregnancy‐induced amelioration of rheumatoid arthritis. International Journal of Gynecology & Obstetrics. 45(2). 197–198. 4 indexed citations
14.
Schmiedl, Udo P., Kenneth R. Maravilla, Frank Starr, et al.. (1992). Measurement of blood‐brain barrier permeability in a tumor model using magnetic resonance imaging with gadolinium‐dtpa. Magnetic Resonance in Medicine. 27(1). 68–75. 52 indexed citations
15.
Nelson, J. Lee, et al.. (1992). Remission of Rheumatoid Arthritis During Pregnancy and Maternal‐Fetal Class II Alloantigen Disparity. American Journal of Reproductive Immunology. 28(3-4). 226–227. 31 indexed citations
16.
Spelman, Francis A., et al.. (1992). Non-invasive magnetic measurement of gut motility. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 102. 2182–2183. 1 indexed citations
17.
Schmiedl, Udo P., Kenneth R. Maravilla, & J. Lee Nelson. (1991). Improved Method for In Vivo Magnetic Resonance Contrast Media Research. Investigative Radiology. 26(1). 65–70. 9 indexed citations
18.
Nelson, J. Lee, Brenda Nisperos, & John A. Hansen. (1989). HLA-D region alloantigens and pregnancy induced remission of rheumatoid arthritis. Journal of Reproductive Immunology. 15. 208–208.
19.
Mamunes, Peter, et al.. (1969). EARLY INTRAVENOUS FEEDING OF THE LOW BIRTH WEIGHT NEONATE. PEDIATRICS. 43(2). 241–250. 7 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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