I Wadman
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Genetics top 5%
Papers in
-
- Cancer-related gene regulation 3
- RNA modifications and cancer 2
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 2
- Genomics and Chromatin Dynamics 1
- Ubiquitin and proteasome pathways 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)Alan J. Warren (2 shared papers)Isabelle Lavenir (2 shared papers)Rebecca C. Larson (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 StatesUnited Kingdom
In The Last Decade
I Wadman
8 papers receiving 1.3k citations
I Wadman's Hit Papers
Peers
Comparison fields: 5 of 67
- Hematology 324
- Genetics 159
- Immunology 281
- Molecular Biology 930
- Cell Biology 204
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 | 722 |
| 2 | 1994 | 195 | |
| 3 | 1996 | 173 | |
| 4 | 1994 | 113 | |
| 5 | 1994 | 83 | |
| 6 | The MAP kinase phosphorylation site of TAL1 occurs within a transcriptional activation domain. | 1994 | 32 |
| 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), T-cell and Retrovirus Studies (2 papers), RNA modifications and cancer (2 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Chromatin Dynamics (1 paper), Acute Lymphoblastic Leukemia research (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Hematology (324 citations), Genetics (159 citations), Immunology (281 citations), Molecular Biology (930 citations) and Cell Biology (204 citations). I Wadman has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Richard Baer, Terence H. Rabbitts, A. Förster, Robert O. Bash, Jinxing Li, Alan J. Warren, Isabelle Lavenir, Rebecca C. Larson, 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.