Mamta Garg

5.2k total citations
79 papers, 1.1k citations indexed

About

Mamta Garg is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Mamta Garg has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Hematology, 35 papers in Molecular Biology and 27 papers in Genetics. Recurrent topics in Mamta Garg's work include Multiple Myeloma Research and Treatments (41 papers), Protein Degradation and Inhibitors (22 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (17 papers). Mamta Garg is often cited by papers focused on Multiple Myeloma Research and Treatments (41 papers), Protein Degradation and Inhibitors (22 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (17 papers). Mamta Garg collaborates with scholars based in United Kingdom, United States and Australia. Mamta Garg's 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 and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Mamta Garg

69 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mamta Garg United Kingdom 16 681 434 401 235 214 79 1.1k
Isabel Krsnik Spain 12 379 0.6× 398 0.9× 200 0.5× 74 0.3× 192 0.9× 39 760
Edgar Faber Czechia 17 401 0.6× 150 0.3× 289 0.7× 80 0.3× 168 0.8× 85 814
Michał Matysiak Poland 15 282 0.4× 444 1.0× 104 0.3× 129 0.5× 134 0.6× 117 937
Yi Luo China 21 771 1.1× 342 0.8× 222 0.6× 247 1.1× 416 1.9× 174 1.7k
Sang Hyuk Park South Korea 19 335 0.5× 174 0.4× 193 0.5× 91 0.4× 145 0.7× 88 873
Mansour Alfayez United States 15 410 0.6× 233 0.5× 158 0.4× 87 0.4× 161 0.8× 54 775
Franck Geneviève France 16 600 0.9× 378 0.9× 254 0.6× 58 0.2× 377 1.8× 57 1.2k
Elba Reyes‐Maldonado Mexico 17 346 0.5× 232 0.5× 115 0.3× 38 0.2× 152 0.7× 75 976
Nükhet Tüzüner Türkiye 17 345 0.5× 256 0.6× 232 0.6× 53 0.2× 236 1.1× 66 1.5k
Dong Wook Jekarl South Korea 18 169 0.2× 245 0.6× 163 0.4× 124 0.5× 143 0.7× 65 1.1k

Countries citing papers authored by Mamta Garg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Garg, Mamta, et al.. (2025). A cross-sectional study about knowledge, attitude and practice regarding anemia among school going adolescent girls in Naila, Jaipur, Rajasthan. International Journal of Adolescent Medicine and Health. 38(1). 1–6.
2.
Godfrey, Anna L., Andrew McGregor, Andrew J. Innes, et al.. (2025). Investigation and management of thrombocytosis without JAK2 , CALR or MPL mutations: A British Society for Haematology Guideline. British Journal of Haematology. 208(2). 471–485.
3.
Jenner, Matthew, et al.. (2025). Management of relapsed multiple myeloma: A British Society of Haematology and UK Myeloma Society guideline. British Journal of Haematology. 207(6). 2322–2354.
4.
Rückert, Michael, Mamta Garg, Ceri Bygrave, et al.. (2024). Evolution of Treatment Patterns and Survival Outcomes in European Patients with Multiple Myeloma from 2012-2023 through the Honeur Federated Data Network. Blood. 144(Supplement 1). 2388–2388.
5.
Kuter, David J., Jiřı́ Mayer, Ross Baker, et al.. (2024). Long-term treatment with rilzabrutinib in patients with immune thrombocytopenia. Blood Advances. 8(7). 1715–1724. 11 indexed citations
6.
Kulasekararaj, Austin, Jamie Cavenagh, Inderjeet Dokal, et al.. (2024). Guidelines for the diagnosis and management of adult aplastic anaemia: A British Society for Haematology Guideline. British Journal of Haematology. 204(3). 784–804. 35 indexed citations
7.
8.
Usmani, Saad Z., Michał Mielnik, Mamta Garg, et al.. (2024). Phase I Study of Belantamab Mafodotin in Combination with Standard of Care in Transplant-Ineligible Newly Diagnosed Multiple Myeloma: Dreamm-9 Updated Interim Analysis. Blood. 144(Supplement 1). 497–497. 3 indexed citations
9.
Kaiser, Martin, Andrew Hall, Katrina Walker, et al.. (2023). Daratumumab, Cyclophosphamide, Bortezomib, Lenalidomide, and Dexamethasone as Induction and Extended Consolidation Improves Outcome in Ultra-High-Risk Multiple Myeloma. Journal of Clinical Oncology. 41(23). 3945–3955. 54 indexed citations
10.
Garg, Mamta, Reena Rani, Vijay Kumar Meena, & Suman Singh. (2023). Significance of 3D printing for a sustainable environment. Materials Today Sustainability. 23. 100419–100419. 27 indexed citations
11.
12.
Martin, Thomas G., Joseph Mıkhael, Roman Hájek, et al.. (2020). Depth of Response and Response Kinetics of Isatuximab Plus Carfilzomib and Dexamethasone in Relapsed Multiple Myeloma: Ikema Interim Analysis. Blood. 136(Supplement 1). 7–8. 12 indexed citations
13.
Dimopoulos, Meletios Α., Ivan Špıčka, Hang Quach, et al.. (2020). Ixazomib as Postinduction Maintenance for Patients With Newly Diagnosed Multiple Myeloma Not Undergoing Autologous Stem Cell Transplantation: The Phase III TOURMALINE-MM4 Trial. Journal of Clinical Oncology. 38(34). 4030–4041. 53 indexed citations
14.
McMullin, Mary Frances, Claire Harrison, Catherine Cargo, et al.. (2018). A guideline for the diagnosis and management of polycythaemia vera. A British Society for Haematology Guideline. British Journal of Haematology. 184(2). 176–191. 94 indexed citations
15.
McMullin, Mary Frances, Adam J. Mead, Sahra Ali, et al.. (2018). A guideline for the management of specific situations in polycythaemia vera and secondary erythrocytosis. British Journal of Haematology. 184(2). 161–175. 70 indexed citations
16.
Mead, Adam J., Dragana Milojković, Steven Knapper, et al.. (2013). Response To Ruxolitinib In Patients With Intermediate-1, Intermediate-2 and High-Risk Myelofibrosis: Interim Results Of The UK Robust Trial. Blood. 122(21). 2826–2826. 5 indexed citations
17.
Garg, Mamta. (2013). EduSat- E-learning Through Satellite –Reaching the Unreached. 5 indexed citations
18.
Garg, Mamta. (2009). Reverse Engineering – Roadmap to Effective Software Design. 4 indexed citations
19.
Parker, Jane E., Tariq Shafi, Antonio Pagliuca, et al.. (2002). Allogeneic stem cell transplantation in the myelodysplastic syndromes: interim results of outcome following reduced‐intensity conditioning compared with standard preparative regimens. British Journal of Haematology. 119(1). 144–154. 66 indexed citations
20.

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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