Matthew I. Wahl
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 12
- Immunology top 1%
- Immunodeficiency and Autoimmune Disorders 9
- T-cell and B-cell Immunology 5
- Immunology and Allergy top 1%
- Molecular Biology top 2%
- Protein Kinase Regulation and GTPase Signaling 15
- Glycosylation and Glycoproteins Research 4
- PI3K/AKT/mTOR signaling in cancer 4
- Cell Biology top 2%
- Cellular transport and secretion 4
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- Platelet Disorders and Treatments 5
- Co-authors
- Sue Goo RheeS NishibeGraham CarpenterOwen N. WitteG CarpenterThomas O. DanielDavid J. RawlingsR. Kato
- Journals
- Science (4 papers)Proceedings of the National Academy of Sciences (9 papers)Journal of Biological Chemistry (6 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Matthew I. Wahl
32 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Genetics 873
- Immunology 1.7k
- Immunology and Allergy 403
- Molecular Biology 3.3k
- Cell Biology 683
Countries citing papers authored by Matthew I. Wahl
This map shows the geographic impact of Matthew I. Wahl'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 Matthew I. Wahl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew I. Wahl more than expected).
Fields of papers citing papers by Matthew I. Wahl
This network shows the impact of papers produced by Matthew I. Wahl. 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 Matthew I. Wahl. The network helps show where Matthew I. Wahl may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew I. Wahl, 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 | 16 | |
| 2 | 2002 | 41 | |
| 3 | 2001 | 53 | |
| 4 | 2001 | 26 | |
| 5 | 2000 | 196 | |
| 6 | 1999 | 46 | |
| 7 | 1998 | 129 | |
| 8 | 1998 | 350 | |
| 9 | 1997 | 116 | |
| 10 | 1997 | 170 | |
| 11 | 1996 | 262 | |
| 12 | 1996 | 386 | |
| 13 | 1991 | 42 | |
| 14 | 1990 | 117 | |
| 15 | Increase of the Catalytic Activity of Phospholipase C-γ1 by Tyrosine Phosphorylationbreakdown → | 1990 | 576 |
| 16 | 1989 | 207 | |
| 17 | 1989 | 340 | |
| 18 | 1989 | 129 | |
| 19 | 1988 | 116 | |
| 20 | Characterization and control of EGF-stimulated formation of inositol phosphates in A-431 cells. | 1987 | 3 |
About Matthew I. Wahl
Matthew I. Wahl is a scholar working on Genetics, Immunology and Hematology, having authored 32 papers that have together received 5.3k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (15 papers), Chronic Lymphocytic Leukemia Research (12 papers), Immunodeficiency and Autoimmune Disorders (9 papers), Platelet Disorders and Treatments (5 papers), T-cell and B-cell Immunology (5 papers), Glycosylation and Glycoproteins Research (4 papers), Cellular transport and secretion (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). The work is most often cited by research in Genetics (873 citations), Immunology (1.7k citations) and Immunology and Allergy (403 citations). Matthew I. Wahl has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Sue Goo Rhee, S Nishibe, Graham Carpenter, Owen N. Witte, G Carpenter, Thomas O. Daniel, David J. Rawlings, R. Kato, Andrew M. Scharenberg and S.M. Teresa Hernández‐Sotomayor. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.