I Wadman

1.6k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

I Wadman is a scholar working on Molecular Biology, Immunology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, I Wadman has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Public Health, Environmental and Occupational Health. Recurrent topics in I Wadman's work include Cancer-related gene regulation (3 papers), RNA modifications and cancer (2 papers) and T-cell and Retrovirus Studies (2 papers). I Wadman is often cited by papers focused on Cancer-related gene regulation (3 papers), RNA modifications and cancer (2 papers) and T-cell and Retrovirus Studies (2 papers). I Wadman collaborates with scholars based in United Kingdom and United States. I Wadman's co-authors include Richard Baer, Terence H. Rabbitts, A. Förster, Robert O. Bash, Jinxing Li, Alan J. Warren, Rebecca C. Larson, Isabelle Lavenir, Teresa Larson and Melanie H. Cobb and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Biochemical Journal.

In The Last Decade

I Wadman

8 papers receiving 1.3k citations

Hit Papers

The LIM-only protein Lmo2 is a bridging molecule assembli... 1997 2026 2006 2016 1997 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
I Wadman United Kingdom 8 947 331 287 205 204 8 1.3k
Kathy Knezevic Australia 19 1.4k 1.5× 678 2.0× 355 1.2× 497 2.4× 174 0.9× 31 1.9k
Sietske T. Bakker United States 11 822 0.9× 305 0.9× 221 0.8× 92 0.4× 52 0.3× 13 1.2k
Anthony A. Fernald United States 18 707 0.7× 468 1.4× 114 0.4× 70 0.3× 96 0.5× 36 1.1k
D Zangrilli Italy 11 1.2k 1.2× 707 2.1× 117 0.4× 217 1.1× 135 0.7× 16 1.3k
Takako Ooshio Japan 16 1.0k 1.1× 283 0.9× 185 0.6× 292 1.4× 40 0.2× 28 1.5k
Eike C. Buss Germany 13 494 0.5× 537 1.6× 438 1.5× 61 0.3× 144 0.7× 31 1.2k
Paloma García United Kingdom 18 745 0.8× 271 0.8× 112 0.4× 192 0.9× 45 0.2× 41 1.1k
Polynikis Kaimakis Netherlands 13 764 0.8× 532 1.6× 291 1.0× 391 1.9× 35 0.2× 16 1.3k
Cédric Dos Santos United States 16 762 0.8× 681 2.1× 396 1.4× 77 0.4× 97 0.5× 36 1.5k
Jianlong Sun United States 12 930 1.0× 545 1.6× 423 1.5× 307 1.5× 28 0.1× 24 1.5k

Countries citing papers authored by I Wadman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of I Wadman

This figure shows the co-authorship network connecting the top 25 collaborators of I Wadman. A scholar is included among the top collaborators of I Wadman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with I Wadman. I Wadman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Wadman, I. (1997). 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. The EMBO Journal. 16(11). 3145–3157. 720 indexed citations breakdown →
2.
Rabbitts, Terence H., Håkan Axelson, A. Förster, et al.. (1997). Chromosomal translocations and leukaemia: a role for LMO2 in T cell acute leukaemia, in transcription and in erythropoiesis.. PubMed. 11 Suppl 3. 271–2. 12 indexed citations
3.
Larson, Rebecca C., Isabelle Lavenir, Teresa Larson, et al.. (1996). Protein dimerization between Lmo2 (Rbtn2) and Tal1 alters thymocyte development and potentiates T cell tumorigenesis in transgenic mice.. The EMBO Journal. 15(5). 1021–1027. 173 indexed citations
4.
Wadman, I, et al.. (1994). The MAP kinase phosphorylation site of TAL1 occurs within a transcriptional activation domain.. PubMed. 9(12). 3713–6. 31 indexed citations
5.
Wadman, I, et al.. (1994). Formation of in vivo complexes between the TAL1 and E2A polypeptides of leukemic T cells.. Proceedings of the National Academy of Sciences. 91(8). 3181–3185. 113 indexed citations
6.
Wadman, I, et al.. (1994). Positive and negative transcriptional control by the TAL1 helix-loop-helix protein.. Proceedings of the National Academy of Sciences. 91(13). 5947–5951. 83 indexed citations
7.
Wadman, I, Jinxing Li, Robert O. Bash, et al.. (1994). Specific in vivo association between the bHLH and LIM proteins implicated in human T cell leukemia.. The EMBO Journal. 13(20). 4831–4839. 196 indexed citations
8.
Wadman, I, Richard W. Farndale, & Bronwen Martin. (1991). Evidence for regulation of human platelet adenylate cyclase by phosphorylation. Inhibition by ATP and guanosine 5′-[β-thio]diphosphate occur by distinct mechanisms. Biochemical Journal. 276(3). 621–630. 11 indexed citations

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.

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