I Wadman
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Genetics top 5%
Papers in
-
- Cancer-related gene regulation 3
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- Genomics and Chromatin Dynamics 1
- Protein Kinase Regulation and GTPase Signaling 1
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- T-cell and Retrovirus Studies 2
- Co-authors
- Richard Baer (5 shared papers)Terence H. Rabbitts (3 shared papers)A. Förster (2 shared papers)Robert O. Bash (1 shared paper)Jinxing Li (1 shared paper)Isabelle Lavenir (2 shared papers)Rebecca C. Larson (2 shared papers)Alan J. Warren (2 shared papers)
- Journals
- The EMBO Journal (3 papers)Proceedings of the National Academy of Sciences (2 papers)Biochemical Journal (1 paper)PubMed (2 papers)
- Partner nations
- United KingdomUnited States
In The Last Decade
I Wadman
8 papers receiving 1.3k citations
I Wadman's Hit Papers
Peers
Comparison fields: 5 of 70
- Hematology 331
- Genetics 163
- Molecular Biology 947
- Immunology 287
- Cell Biology 205
Countries citing papers authored by I Wadman
This map shows the geographic impact of I Wadman'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 I Wadman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I Wadman more than expected).
Fields of papers citing papers by I Wadman
This network shows the impact of papers produced by I Wadman. 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 I Wadman. The network helps show where I Wadman may publish in the future.
Co-authors
The 14 scholars most cited alongside I Wadman, 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 | The LIM-only protein Lmo2 is a bridging molecule assembling an erythroid, DNA-binding complex which includes the TAL1, E47, GATA-1 and Ldb1/NLI proteins Hit paper breakdown → | 1997 | 720 |
| 2 | 1994 | 196 | |
| 3 | 1996 | 173 | |
| 4 | 1994 | 113 | |
| 5 | 1994 | 83 | |
| 6 | The MAP kinase phosphorylation site of TAL1 occurs within a transcriptional activation domain. | 1994 | 31 |
| 7 | Chromosomal translocations and leukaemia: a role for LMO2 in T cell acute leukaemia, in transcription and in erythropoiesis. | 1997 | 12 |
| 8 | 1991 | 11 |
About I Wadman
I Wadman is a scholar working on Molecular Biology, Immunology, Public Health, Environmental and Occupational Health, Hematology and Genetics, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related gene regulation (3 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (2 papers), T-cell and Retrovirus Studies (2 papers), RNA modifications and cancer (2 papers), Genomics and Chromatin Dynamics (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper) and Platelet Disorders and Treatments (1 paper). The work is most often cited by research in Hematology (331 citations), Genetics (163 citations), Molecular Biology (947 citations), Immunology (287 citations) and Cell Biology (205 citations). I Wadman has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Richard Baer, Terence H. Rabbitts, A. Förster, Robert O. Bash, Jinxing Li, Isabelle Lavenir, Rebecca C. Larson, Alan J. Warren, Teresa Larson and Melanie H. Cobb. Their work appears in journals such as The EMBO Journal, Proceedings of the National Academy of Sciences, Biochemical Journal 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.