Harry Segall
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
Papers in
- Immunology 11
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 8
- T-cell and B-cell Immunology 7
- Virology 2
- HIV Research and Treatment 2
- Co-authors
- Steven M. KornblauMichael AndreeffJohn C. ReedKate WelshAnne MonksGabriela TudorDominic A. ScudieroYaīr Reisner
- Journals
- Blood (6 papers)Molecular Therapy (2 papers)Transplantation (2 papers)Current Opinion in Immunology (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Harry Segall
18 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Immunology 391
- Hematology 182
- Virology 49
- Molecular Biology 695
- Oncology 259
Countries citing papers authored by Harry Segall
This map shows the geographic impact of Harry Segall'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 Harry Segall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harry Segall more than expected).
Fields of papers citing papers by Harry Segall
This network shows the impact of papers produced by Harry Segall. 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 Harry Segall. The network helps show where Harry Segall may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Harry Segall, 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 | 2005 | 9 | |
| 2 | 2004 | 1 | |
| 3 | 2004 | 1 | |
| 4 | 2003 | 29 | |
| 5 | 2003 | 3 | |
| 6 | 2003 | 0 | |
| 7 | 2000 | 101 | |
| 8 | Expression and prognostic significance of IAP-family genes in human cancers and myeloid leukemias. Hit paper breakdown → | 2000 | 518 |
| 9 | 1999 | 2 | |
| 10 | 1999 | 124 | |
| 11 | 1998 | 4 | |
| 12 | 1998 | 148 | |
| 13 | 1997 | 6 | |
| 14 | 1996 | 39 | |
| 15 | 1995 | 14 | |
| 16 | 1995 | 11 | |
| 17 | 1995 | 37 | |
| 18 | 1994 | 3 | |
| 19 | 1994 | 70 |
About Harry Segall
Harry Segall is a scholar working on Immunology, Virology, Hematology, Biotechnology and Oncology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (9 papers), Immunotherapy and Immune Responses (8 papers), T-cell and B-cell Immunology (7 papers), Virus-based gene therapy research (3 papers), RNA Interference and Gene Delivery (3 papers), HIV Research and Treatment (2 papers), Cell death mechanisms and regulation (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (391 citations), Hematology (182 citations), Virology (49 citations), Molecular Biology (695 citations) and Oncology (259 citations). Harry Segall has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Steven M. Kornblau, Michael Andreeff, John C. Reed, Kate Welsh, Anne Monks, Gabriela Tudor, Dominic A. Scudiero, Yaīr Reisner, Stanisław Krajewski and Ingo Tamm. Their work appears in journals such as Blood, Molecular Therapy, Transplantation, Current Opinion in Immunology and Advances in experimental medicine and biology.
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.