Jane Hudson
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
- Surgery 3
-
- Metabolism, Diabetes, and Cancer 1
- Co-authors
- Jeffrey M. Gimble (3 shared papers)Xiying Wu (2 shared papers)David Rosen (1 shared paper)Patricia R. Segarini (1 shared paper)Mary Sullivan (1 shared paper)JM Gimble (2 shared papers)Kay L. Medina (2 shared papers)Lawrence H. Cheung (1 shared paper)
- Journals
- British Journal of Haematology (1 paper)Gene (1 paper)Diagnostic Microbiology and Infectious Disease (1 paper)Annals of Internal Medicine (1 paper)American Journal of Hematology (1 paper)
- Partner nations
- United StatesIrelandSweden
In The Last Decade
Jane Hudson
11 papers receiving 379 citations
Peers
Comparison fields: 5 of 60
- Genetics 95
- Immunology and Allergy 43
- Hematology 49
- Orthopedics and Sports Medicine 36
- Immunology 86
Countries citing papers authored by Jane Hudson
This map shows the geographic impact of Jane Hudson'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 Jane Hudson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Hudson more than expected).
Fields of papers citing papers by Jane Hudson
This network shows the impact of papers produced by Jane Hudson. 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 Jane Hudson. The network helps show where Jane Hudson may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Hudson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 176 | |
| 2 | 1996 | 57 | |
| 3 | 1991 | 41 | |
| 4 | Modulation of lymphohematopoiesis in long-term cultures by gamma interferon: direct and indirect action on lymphoid and stromal cells. | 1993 | 26 |
| 5 | Regulation of interleukin 6 expression in murine bone marrow stromal cells. | 1991 | 26 |
| 6 | 1992 | 17 | |
| 7 | 1988 | 17 | |
| 8 | 1974 | 17 | |
| 9 | 2007 | 7 | |
| 10 | 1997 | 6 | |
| 11 | 1959 | 3 |
About Jane Hudson
Jane Hudson is a scholar working on Surgery, Molecular Biology, Oncology, Immunology and Epidemiology, having authored 11 papers that have together received 393 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (2 papers), Immune Cell Function and Interaction (2 papers), Mesenchymal stem cell research (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Infective Endocarditis Diagnosis and Management (1 paper), Cell Adhesion Molecules Research (1 paper), Lipid metabolism and biosynthesis (1 paper) and Prenatal Screening and Diagnostics (1 paper). The work is most often cited by research in Genetics (95 citations), Immunology and Allergy (43 citations), Hematology (49 citations), Orthopedics and Sports Medicine (36 citations) and Immunology (86 citations). Jane Hudson has collaborated with scholars based in United States, Ireland and Sweden. Frequent co-authors include Jeffrey M. Gimble, Xiying Wu, David Rosen, Patricia R. Segarini, Mary Sullivan, JM Gimble, Kay L. Medina, Lawrence H. Cheung, W. McCaughey and Sven Enerbäck. Their work appears in journals such as British Journal of Haematology, Gene, Diagnostic Microbiology and Infectious Disease, Annals of Internal Medicine and American Journal of Hematology.
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.