Meghali Goswami

1.3k total citations
33 papers, 692 citations indexed

About

Meghali Goswami is a scholar working on Oncology, Immunology and Hematology. According to data from OpenAlex, Meghali Goswami has authored 33 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 14 papers in Immunology and 13 papers in Hematology. Recurrent topics in Meghali Goswami's work include Acute Myeloid Leukemia Research (12 papers), CAR-T cell therapy research (8 papers) and Immune Cell Function and Interaction (6 papers). Meghali Goswami is often cited by papers focused on Acute Myeloid Leukemia Research (12 papers), CAR-T cell therapy research (8 papers) and Immune Cell Function and Interaction (6 papers). Meghali Goswami collaborates with scholars based in United States, Switzerland and India. Meghali Goswami's co-authors include Christopher S. Hourigan, Katherine E. Lindblad, Xiao Ni, Karolyn A. Oetjen, Jeffrey L. Jorgensen, Laura W. Dillon, William K. Decker, Catherine Lai, Youn H. Kim and Pramoda Challagundla and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Meghali Goswami

32 papers receiving 687 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meghali Goswami United States 13 321 249 198 190 118 33 692
Emily Farmer United States 14 353 1.1× 188 0.8× 161 0.8× 111 0.6× 46 0.4× 25 706
Christopher B. Benton United States 17 237 0.7× 475 1.9× 250 1.3× 682 3.6× 54 0.5× 56 1.1k
Sonja Lagström Finland 13 274 0.9× 262 1.1× 162 0.8× 77 0.4× 28 0.2× 22 791
Matthias Zeis Germany 16 634 2.0× 229 0.9× 314 1.6× 368 1.9× 30 0.3× 42 931
I L Wolvers-Tettero Netherlands 16 436 1.4× 157 0.6× 234 1.2× 277 1.5× 56 0.5× 22 1.0k
Sebastian Fernandez‐Pol United States 12 100 0.3× 147 0.6× 93 0.5× 61 0.3× 101 0.9× 45 481
Benedetta Mazzi Italy 10 392 1.2× 154 0.6× 171 0.9× 115 0.6× 42 0.4× 28 613
Isabella Fried Austria 12 60 0.2× 196 0.8× 257 1.3× 47 0.2× 141 1.2× 29 551
Mette Ilander Finland 14 234 0.7× 119 0.5× 156 0.8× 138 0.7× 18 0.2× 25 444
R J Armitage Canada 8 835 2.6× 202 0.8× 325 1.6× 100 0.5× 20 0.2× 8 1.1k

Countries citing papers authored by Meghali Goswami

Since Specialization
Citations

This map shows the geographic impact of Meghali Goswami'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 Meghali Goswami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meghali Goswami more than expected).

Fields of papers citing papers by Meghali Goswami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meghali Goswami. 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 Meghali Goswami. The network helps show where Meghali Goswami may publish in the future.

Co-authorship network of co-authors of Meghali Goswami

This figure shows the co-authorship network connecting the top 25 collaborators of Meghali Goswami. A scholar is included among the top collaborators of Meghali Goswami 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 Meghali Goswami. Meghali Goswami 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.
Goswami, Meghali, Christine M. Minnar, Dara Bracken‐Clarke, et al.. (2025). Increased Peripheral T Stem Cell–like Memory Features in Patients with Advanced Solid Tumors Treated with Tumor-Targeting IL-12 Immunocytokine Therapy. Clinical Cancer Research. 31(19). 4159–4173. 1 indexed citations
2.
Floudas, Charalampos S., Meghali Goswami, Renee N. Donahue, et al.. (2025). Novel Combination Immunotherapy and Clinical Activity in Patients With HPV-Associated Cancers. JAMA Oncology. 11(4). 394–394. 10 indexed citations
3.
Gui, Gege, Jeremy Herzog, Abigail Wong-Rolle, et al.. (2025). Single-cell spatial transcriptomics reveals immunotherapy-driven bone marrow niche remodeling in AML. Science Advances. 11(28). eadw4871–eadw4871. 1 indexed citations
4.
Goswami, Meghali, et al.. (2024). Peripheral immune biomarkers for immune checkpoint inhibition of solid tumours. Clinical and Translational Medicine. 14(8). e1814–e1814. 4 indexed citations
5.
Goswami, Meghali, Jeffrey Schlom, & Renee N. Donahue. (2023). Peripheral surrogates of tumor burden to guide chemotherapeutic and immunotherapeutic strategies for HPV-associated malignancies. Oncotarget. 14(1). 758–774. 1 indexed citations
6.
Donahue, Renee N., et al.. (2021). Interrogation of the cellular immunome of cancer patients with regard to the COVID-19 pandemic. Journal for ImmunoTherapy of Cancer. 9(3). e002087–e002087. 7 indexed citations
7.
Çelik, Haydar, Katherine E. Lindblad, Bogdan Popescu, et al.. (2020). Highly multiplexed proteomic assessment of human bone marrow in acute myeloid leukemia. Blood Advances. 4(2). 367–379. 38 indexed citations
8.
Goswami, Meghali, et al.. (2020). B Cell Deficiency in Patients with Relapsed and Refractory Acute Myeloid Leukemia. SHILAP Revista de lepidopterología. 2(3). 125–125. 3 indexed citations
10.
Wong, Hong Yuen, Anthony D. Sung, Katherine E. Lindblad, et al.. (2019). Molecular Measurable Residual Disease Testing of Blood During AML Cytotoxic Therapy for Early Prediction of Clinical Response. Frontiers in Oncology. 8. 669–669. 14 indexed citations
11.
Çelik, Haydar, Katherine E. Lindblad, Bogdan Popescu, et al.. (2019). A Novel Proteomic Profiling of the Bone Marrow Microenvironment Reveals Elevated Levels of the Chemokine CCL23 Isoforms in Acute Myeloid Leukemia. Blood. 134(Supplement_1). 2709–2709.
12.
Oetjen, Karolyn A., Katherine E. Lindblad, Meghali Goswami, et al.. (2018). Human bone marrow assessment by single-cell RNA sequencing, mass cytometry, and flow cytometry. JCI Insight. 3(23). 119 indexed citations
13.
Goswami, Meghali, Gabrielle T. Prince, Angélique Biancotto, et al.. (2017). Impaired B cell immunity in acute myeloid leukemia patients after chemotherapy. Journal of Translational Medicine. 15(1). 155–155. 36 indexed citations
14.
15.
Boysen, Justin C., Guru Prasad Maiti, Sutapa Sinha, et al.. (2016). Dynamics of microvesicle generation in B-cell chronic lymphocytic leukemia: implication in disease progression. Leukemia. 31(2). 350–360. 29 indexed citations
16.
Goswami, Meghali & Christopher S. Hourigan. (2015). Novel Antigen Targets for Immunotherapy of Acute Myeloid Leukemia. Current Drug Targets. 18(3). 296–303. 17 indexed citations
17.
Goswami, Meghali, Julián Candia, Nancy F. Hensel, et al.. (2015). A multigene array for measurable residual disease detection in AML patients undergoing SCT. Bone Marrow Transplantation. 50(5). 642–651. 28 indexed citations
18.
Lu, Qin, B. Douglas Smith, Hua-Ling Tsai, et al.. (2013). Induction of high-titer IgG antibodies against multiple leukemia-associated antigens in CML patients with clinical responses to K562/GVAX immunotherapy. Blood Cancer Journal. 3(9). e145–e145. 19 indexed citations
19.
Goswami, Meghali, et al.. (2012). Increased Twist expression in advanced stage of mycosis fungoides and Sézary syndrome. Journal of Cutaneous Pathology. 39(5). 500–507. 24 indexed citations
20.
Ni, Xiao, Víctor G. Prieto, Jeffrey L. Jorgensen, et al.. (2012). A case of invisible leukemic cutaneous T cell lymphoma with a regulatory T cell clone. International Journal of Dermatology. 52(9). 1111–1114. 11 indexed citations

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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