Mamta Garg
- Hematology top 1%
- Molecular Biology
- Genetics top 2%
- Public Health, Environmental and Occupational Health top 10%
- Oncology
- Co-authors
- N A KshirsagarNirmal Raj GopinathanJohn A. Liu YinAdam J. MeadKhalid TobalHelen MooreClaire HarrisonSteven Knapper
- Topics
- Multiple Myeloma Research and Treatments (41 papers)Protein Degradation and Inhibitors (22 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (17 papers)
- Cited by
- HematologyGeneticsRheumatology
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Mamta Garg
69 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 113
- Hematology 681
- Molecular Biology 434
- Genetics 401
- Public Health, Environmental and Occupational Health 235
- Oncology 214
Countries citing papers authored by Mamta Garg
This map shows the geographic impact of Mamta Garg'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 Mamta Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mamta Garg more than expected).
Fields of papers citing papers by Mamta Garg
This network shows the impact of papers produced by Mamta Garg. 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 Mamta Garg. The network helps show where Mamta Garg may publish in the future.
Co-authorship network of co-authors of Mamta Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Mamta Garg. A scholar is included among the top collaborators of Mamta Garg 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 Mamta Garg. Mamta Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 35 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 54 | |
| 10 | 27 | |
| 11 | 2 | |
| 12 | 12 | |
| 13 | 53 | |
| 14 | 94 | |
| 15 | 70 | |
| 16 | 5 | |
| 17 | EduSat- E-learning Through Satellite –Reaching the Unreached | 5 |
| 18 | Reverse Engineering – Roadmap to Effective Software Design | 4 |
| 19 | 66 | |
| 20 | 19 |
About Mamta Garg
Mamta Garg is a scholar working on Hematology, Genetics and Oncology, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (41 papers), Protein Degradation and Inhibitors (22 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (17 papers). The work is most often cited by research in Hematology (681 citations), Genetics (401 citations) and Rheumatology (138 citations). Mamta Garg has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include N A Kshirsagar, Nirmal Raj Gopinathan, John A. Liu Yin, Adam J. Mead, Khalid Tobal, Helen Moore, Claire Harrison, Steven Knapper, Catherine Cargo and Anna L. Godfrey. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.