Daniel E. Geraghty
- Immunology top 0.05%
- T-cell and B-cell Immunology 78
- Immune Cell Function and Interaction 75
- Reproductive System and Pregnancy 47
- Immunotherapy and Immune Responses 25
- Reproductive Medicine top 0.5%
- Endometriosis Research and Treatment 12
- Virology top 1%
- Transplantation top 1%
- Obstetrics and Gynecology top 0.5%
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- Diabetes and associated disorders 15
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- Hematopoietic Stem Cell Transplantation 10
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- Reproductive Physiology in Livestock 10
- Co-authors
- Akiko IshitaniNi LeeHarry T. OrrMiguel López‐BotetThomas A. SpiesFrancisco NavarroBo DupontPeter Parham
- Journals
- The Journal of Immunology (15 papers)Proceedings of the National Academy of Sciences (9 papers)Human Immunology (8 papers)
- Partner nations
- United StatesSouth AfricaJapan
In The Last Decade
Daniel E. Geraghty
144 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Immunology 11.8k
- Reproductive Medicine 1.3k
- Virology 549
- Transplantation 304
- Obstetrics and Gynecology 847
Countries citing papers authored by Daniel E. Geraghty
This map shows the geographic impact of Daniel E. Geraghty'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 Daniel E. Geraghty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Geraghty more than expected).
Fields of papers citing papers by Daniel E. Geraghty
This network shows the impact of papers produced by Daniel E. Geraghty. 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 Daniel E. Geraghty. The network helps show where Daniel E. Geraghty may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel E. Geraghty, 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 | 2024 | 0 | |
| 2 | 2022 | 20 | |
| 3 | 2021 | 9 | |
| 4 | 2017 | 105 | |
| 5 | 2016 | 9 | |
| 6 | 2013 | 59 | |
| 7 | 2010 | 63 | |
| 8 | 2006 | 219 | |
| 9 | 2006 | 56 | |
| 10 | 2005 | 169 | |
| 11 | 2003 | 274 | |
| 12 | 2003 | 71 | |
| 13 | 2003 | 84 | |
| 14 | 2000 | 95 | |
| 15 | 2000 | 62 | |
| 16 | 1999 | 304 | |
| 17 | 1998 | 418 | |
| 18 | 1998 | 144 | |
| 19 | THE EXPRESSION OF HLA-G ANTIGEN IN DIFFERENT HUMAN TISSUES AND PLACENTAS AT DIFFERENT STAGES OF PREGNANCY | 1994 | 3 |
| 20 | 1989 | 89 |
About Daniel E. Geraghty
Daniel E. Geraghty is a scholar working on Immunology, Virology and Transplantation, having authored 147 papers that have together received 13.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (78 papers), Immune Cell Function and Interaction (75 papers), Reproductive System and Pregnancy (47 papers), Immunotherapy and Immune Responses (25 papers), Diabetes and associated disorders (15 papers), Endometriosis Research and Treatment (12 papers), Hematopoietic Stem Cell Transplantation (10 papers) and Reproductive Physiology in Livestock (10 papers). The work is most often cited by research in Immunology (11.8k citations), Reproductive Medicine (1.3k citations) and Virology (549 citations). Daniel E. Geraghty has collaborated with scholars based in United States, South Africa and Japan. Frequent co-authors include Akiko Ishitani, Ni Lee, Harry T. Orr, Miguel López‐Botet, Thomas A. Spies, Francisco Navarro, Bo Dupont, Peter Parham, Manuel Llano and Steven G. E. Marsh. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Human Immunology, HLA and Immunogenetics.
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.