JL Gottschall
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Complement system in diseases
Papers in
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- Hematopoietic Stem Cell Transplantation 4
- Blood groups and transfusion 3
- Chronic Myeloid Leukemia Treatments 2
- Acute Myeloid Leukemia Research 1
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- T-cell and B-cell Immunology 3
- Complement system in diseases 3
- Immune Cell Function and Interaction 3
- Co-authors
- RC Ash (4 shared papers)William R. Drobyski (4 shared papers)Wendy P. Robinson (1 shared paper)Michael J. MacDonald (1 shared paper)Sung-Hong Joe (1 shared paper)J Barbosa (1 shared paper)Max P. Baur (1 shared paper)Mary K. Kuhner (1 shared paper)
- Journals
- Blood (6 papers)Journal of Forensic Sciences (1 paper)Transfusion (1 paper)American Journal of Hematology (1 paper)PubMed (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
JL Gottschall
10 papers receiving 796 citations
Peers
Comparison fields: 5 of 63
- Hematology 394
- Immunology 357
- Genetics 332
- Endocrinology, Diabetes and Metabolism 126
- Genetics 75
Countries citing papers authored by JL Gottschall
This map shows the geographic impact of JL Gottschall'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 JL Gottschall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JL Gottschall more than expected).
Fields of papers citing papers by JL Gottschall
This network shows the impact of papers produced by JL Gottschall. 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 JL Gottschall. The network helps show where JL Gottschall may publish in the future.
Co-authors
The 25 scholars most cited alongside JL Gottschall, 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 | Genetic heterogeneity, modes of inheritance, and risk estimates for a joint study of Caucasians with insulin-dependent diabetes mellitus. | 1988 | 322 |
| 2 | 1993 | 292 | |
| 3 | 1991 | 92 | |
| 4 | 1989 | 61 | |
| 5 | 1997 | 55 | |
| 6 | 1985 | 12 | |
| 7 | 1993 | 11 | |
| 8 | 1991 | 6 | |
| 9 | 1990 | 3 | |
| 10 | 1989 | 2 |
About JL Gottschall
JL Gottschall is a scholar working on Hematology, Immunology, Genetics, Surgery and Nephrology, having authored 10 papers that have together received 856 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), T-cell and B-cell Immunology (3 papers), Blood groups and transfusion (3 papers), Complement system in diseases (3 papers), Immune Cell Function and Interaction (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Acute Myeloid Leukemia Research (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Hematology (394 citations), Immunology (357 citations), Genetics (332 citations), Endocrinology, Diabetes and Metabolism (126 citations) and Genetics (75 citations). JL Gottschall has collaborated with scholars based in United States, Germany and China. Frequent co-authors include RC Ash, William R. Drobyski, Wendy P. Robinson, Michael J. MacDonald, Sung-Hong Joe, J Barbosa, Max P. Baur, Mary K. Kuhner, Stephen S. Rich and G. Thomson. Their work appears in journals such as Blood, Journal of Forensic Sciences, Transfusion, American Journal of Hematology and PubMed.
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.