IR Kirsch
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
- Multiple Myeloma Research and Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Immunology 10
- T-cell and Retrovirus Studies 6
- Immune Cell Function and Interaction 4
-
- Acute Lymphoblastic Leukemia research 6
- Co-authors
- GF Hollis (4 shared papers)GH Reaman (4 shared papers)AF Gazdar (2 shared papers)G. Denman Hammond (2 shared papers)PD Aplan (2 shared papers)Stanley Lipkowitz (2 shared papers)S J Korsmeyer (4 shared papers)Kozak Ca (1 shared paper)
- Journals
- Blood (14 papers)Clinical Genetics (1 paper)PubMed (2 papers)
- Partner nations
- United StatesCanada
In The Last Decade
IR Kirsch
17 papers receiving 615 citations
Peers
Comparison fields: 5 of 57
- Hematology 217
- Genetics 110
- Pathology and Forensic Medicine 123
- Immunology 139
- Public Health, Environmental and Occupational Health 175
Countries citing papers authored by IR Kirsch
This map shows the geographic impact of IR Kirsch'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 IR Kirsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IR Kirsch more than expected).
Fields of papers citing papers by IR Kirsch
This network shows the impact of papers produced by IR Kirsch. 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 IR Kirsch. The network helps show where IR Kirsch may publish in the future.
Co-authors
The 25 scholars most cited alongside IR Kirsch, 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 | 1992 | 124 | |
| 2 | 1986 | 93 | |
| 3 | 1996 | 80 | |
| 4 | 1987 | 79 | |
| 5 | 1987 | 55 | |
| 6 | NSCL-2: a basic domain helix-loop-helix gene expressed in early neurogenesis. | 1992 | 55 |
| 7 | 1992 | 53 | |
| 8 | 1989 | 45 | |
| 9 | 1992 | 12 | |
| 10 | 2010 | 11 | |
| 11 | 1989 | 7 | |
| 12 | 1996 | 6 | |
| 13 | 1987 | 5 | |
| 14 | 1986 | 5 | |
| 15 | 1987 | 4 | |
| 16 | 1992 | 2 | |
| 17 | Transrearrangements as biomarkers for risk of lymphoid malignancy. | 1996 | 2 |
About IR Kirsch
IR Kirsch is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Genetics, Pathology and Forensic Medicine and Hematology, having authored 17 papers that have together received 638 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (6 papers), T-cell and Retrovirus Studies (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Immune Cell Function and Interaction (4 papers), DNA Repair Mechanisms (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hematology (217 citations), Genetics (110 citations), Pathology and Forensic Medicine (123 citations), Immunology (139 citations) and Public Health, Environmental and Occupational Health (175 citations). IR Kirsch has collaborated with scholars based in United States and Canada. Frequent co-authors include GF Hollis, GH Reaman, AF Gazdar, G. Denman Hammond, PD Aplan, Stanley Lipkowitz, S J Korsmeyer, Kozak Ca, Gerard Brady and NN Iscove. Their work appears in journals such as Blood, Clinical Genetics 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.