Gene Nelson

1.7k citations
26 papers · 1.2k · h-index 19

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 11
    • Chronic Myeloid Leukemia Treatments 4
    • SARS-CoV-2 and COVID-19 Research 3
    • Viral Infections and Vectors 3

Gene Nelson

25 papers receiving 1.2k citations

Peers

Gene Nelson
Comparison fields: 5 of 91
  • Hematology 500
  • Transplantation 62
  • Virology 84
  • Infectious Diseases 299
  • Immunology 331
Replace Pamela Rowe with:
Pamela Rowe United Kingdom
Anita K. McElroy United States
M. Ho United States
R. Rodríguez Cuba
Cristina Giachetti United States
Teresia Hallström Germany
Jean‐Marc Costa France
Shelby L. O’Connor United States
Johanna L'age‐Stehr Germany
I.E. Anderson United Kingdom
Gene Nelson relative to Pamela Rowe United Kingdom Pamela Rowe's profile →
Citations per field
00.5×8.9×
Pamela Rowe · 1×
Citations per year

Countries citing papers authored by Gene Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Gene Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gene Nelson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gene Nelson Line = papers co-authored together Gene Nelson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006167
2 2002141
3 1992108
4 199296
5 199879
6 200873
7 199873
8 199467
9 198962
10 200852
11 200251
12 200634
13 199531
14 200929
15 199228
16 199227
17 199226
18 200925
19 199621
20 200517

About Gene Nelson

Gene Nelson is a scholar working on Hematology, Infectious Diseases, Molecular Biology, Immunology and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Bacillus and Francisella bacterial research (6 papers), Immune Cell Function and Interaction (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Acute Lymphoblastic Leukemia research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Viral Infections and Vectors (3 papers) and Poxvirus research and outbreaks (2 papers). The work is most often cited by research in Hematology (500 citations), Transplantation (62 citations), Virology (84 citations), Infectious Diseases (299 citations) and Immunology (331 citations). Gene Nelson has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Bruce E. Ivins, Susan L. Welkos, Daniel J. Weisdorf, Claudio Anasetti, Roberta King, Nancy A. Kernan, Dennis L. Confer, Patricia Fellows, Stella M. Davies and Stephen F. Little. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Blood, Microbial Pathogenesis, British Journal of Haematology and Infection and Immunity.

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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