HaMut Lam
Impact in
- Urology top 1%
- Hair Growth and Disorders
- Cell Biology top 5%
- Skin and Cellular Biology Research
- melanin and skin pigmentation
Papers in
-
- Wnt/β-catenin signaling in development and cancer 3
- RNA regulation and disease 2
- RNA Research and Splicing 2
- Porphyrin Metabolism and Disorders 1
- Connexins and lens biology 1
- Urology 5
- Hair Growth and Disorders 5
- Co-authors
- John A. McGrath (4 shared papers)Angela M. Christiano (7 shared papers)Wasim Ahmad (3 shared papers)Mahmud Ahmad (2 shared papers)Muhammad Faiyaz ul Haque (2 shared papers)Jorge Frank (2 shared papers)Valeria Brancolini (1 shared paper)Hui C. Tsou (1 shared paper)
- Journals
- Journal of Investigative Dermatology (2 papers)The American Journal of Human Genetics (2 papers)Genomics (1 paper)Journal of Dermatological Science (1 paper)Science (1 paper)
- Partner nations
- United StatesUnited KingdomPakistan
In The Last Decade
HaMut Lam
8 papers receiving 608 citations
Peers
Comparison fields: 5 of 56
- Urology 373
- Cell Biology 315
- Dermatology 84
- Molecular Biology 345
- Genetics 93
Countries citing papers authored by HaMut Lam
This map shows the geographic impact of HaMut Lam'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 HaMut Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites HaMut Lam more than expected).
Fields of papers citing papers by HaMut Lam
This network shows the impact of papers produced by HaMut Lam. 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 HaMut Lam. The network helps show where HaMut Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside HaMut Lam, 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 | 1998 | 328 | |
| 2 | 1997 | 105 | |
| 3 | 1999 | 74 | |
| 4 | 1998 | 62 | |
| 5 | 1998 | 40 | |
| 6 | 2002 | 20 | |
| 7 | 2005 | 10 | |
| 8 | Identification of a novel splice site mutation in the human hairless gene underlying atrichia with papular lesions. | 2006 | 8 |
About HaMut Lam
HaMut Lam is a scholar working on Molecular Biology, Urology, Cell Biology, Paleontology and Pediatrics, Perinatology and Child Health, having authored 8 papers that have together received 647 indexed citations. Recurring topics across this work include Hair Growth and Disorders (5 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Skin and Cellular Biology Research (3 papers), RNA regulation and disease (2 papers), RNA Research and Splicing (2 papers), Neonatal Health and Biochemistry (1 paper), Porphyrin Metabolism and Disorders (1 paper) and Connexins and lens biology (1 paper). The work is most often cited by research in Urology (373 citations), Cell Biology (315 citations), Dermatology (84 citations), Molecular Biology (345 citations) and Genetics (93 citations). HaMut Lam has collaborated with scholars based in United States, United Kingdom and Pakistan. Frequent co-authors include John A. McGrath, Angela M. Christiano, Wasim Ahmad, Mahmud Ahmad, Muhammad Faiyaz ul Haque, Jorge Frank, Valeria Brancolini, Hui C. Tsou, Monica Peacocke and Jürg Ott. Their work appears in journals such as Journal of Investigative Dermatology, The American Journal of Human Genetics, Genomics, Journal of Dermatological Science and Science.
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.