M. Lamba
Impact in
- Dermatology top 5%
- Dermatology and Skin Diseases
- Hematology top 10%
- Autoimmune and Inflammatory Disorders Research
Papers in
-
- Histone Deacetylase Inhibitors Research 3
- Epigenetics and DNA Methylation 2
- Oncology 6
- Lung Cancer Research Studies 2
- Co-authors
- Shu-Ping Lan (1 shared paper)Sairah Khan (1 shared paper)Chantal Bolduc (1 shared paper)W.C. Ports (1 shared paper)Kim Papp (1 shared paper)Robert Bissonnette (1 shared paper)S. Krishnaswami (5 shared papers)Ellen Filvaroff (6 shared papers)
- Journals
- Annals of the Rheumatic Diseases (5 papers)Annals of Oncology (5 papers)Journal of Clinical Oncology (1 paper)Journal of Thoracic Oncology (1 paper)Head and Neck Pathology (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
M. Lamba
17 papers receiving 346 citations
Peers
Comparison fields: 5 of 62
- Dermatology 92
- Hematology 76
- Rheumatology 100
- Immunology 138
- Transplantation 14
Countries citing papers authored by M. Lamba
This map shows the geographic impact of M. Lamba'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 M. Lamba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Lamba more than expected).
Fields of papers citing papers by M. Lamba
This network shows the impact of papers produced by M. Lamba. 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 M. Lamba. The network helps show where M. Lamba may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Lamba, 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 | 2013 | 163 | |
| 2 | 2020 | 50 | |
| 3 | 2015 | 45 | |
| 4 | 2016 | 31 | |
| 5 | 2013 | 12 | |
| 6 | 2015 | 12 | |
| 7 | 2019 | 11 | |
| 8 | 2016 | 8 | |
| 9 | 2013 | 7 | |
| 10 | 2024 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2014 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2007 | 1 |
About M. Lamba
M. Lamba is a scholar working on Molecular Biology, Oncology, Rheumatology, Genetics and Immunology, having authored 17 papers that have together received 356 indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (6 papers), Chronic Lymphocytic Leukemia Research (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Epigenetics and DNA Methylation (2 papers), Biosimilars and Bioanalytical Methods (2 papers), Lung Cancer Research Studies (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Dermatology (92 citations), Hematology (76 citations), Rheumatology (100 citations), Immunology (138 citations) and Transplantation (14 citations). M. Lamba has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Shu-Ping Lan, Sairah Khan, Chantal Bolduc, W.C. Ports, Kim Papp, Robert Bissonnette, S. Krishnaswami, Ellen Filvaroff, Philip J. O’Connell and Michael A. Tortorici. Their work appears in journals such as Annals of the Rheumatic Diseases, Annals of Oncology, Journal of Clinical Oncology, Journal of Thoracic Oncology and Head and Neck Pathology.
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.