Manit Munshi

1.5k total citations
40 papers, 632 citations indexed

About

Manit Munshi is a scholar working on Genetics, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Manit Munshi has authored 40 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 22 papers in Pathology and Forensic Medicine and 11 papers in Immunology. Recurrent topics in Manit Munshi's work include Chronic Lymphocytic Leukemia Research (35 papers), Lymphoma Diagnosis and Treatment (21 papers) and Immunodeficiency and Autoimmune Disorders (9 papers). Manit Munshi is often cited by papers focused on Chronic Lymphocytic Leukemia Research (35 papers), Lymphoma Diagnosis and Treatment (21 papers) and Immunodeficiency and Autoimmune Disorders (9 papers). Manit Munshi collaborates with scholars based in United States, India and China. Manit Munshi's co-authors include Steven P. Treon, Zachary R. Hunter, Guang Yang, Amanda Kofides, Jorge J. Castillo, Maria Demos, Kirsten Meid, Lian Xu, Joshua Gustine and Nicholas Tsakmaklis and has published in prestigious journals such as Journal of Clinical Oncology, Blood and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Manit Munshi

36 papers receiving 628 citations

Peers

Manit Munshi
Comparison fields: 5 of 35
  • Genetics 543
  • Pathology and Forensic Medicine 473
  • Immunology 243
  • Hematology 179
  • Oncology 70
Replace Nicholas Tsakmaklis with:
Nicholas Tsakmaklis United States
Alison Morilla United Kingdom
Ulrike Söling Germany
Magdalena Piotrowska Poland
Sandra Robrecht Germany
Maria Demos United States
Toni Dubeau United States
Amanda Kofides United States
Silvia Zibellini Italy
Alice Lynn United States
Nicholas Tsakmaklis United States View profile →
Citations per field, relative to Manit Munshi
Manit Munshi · 1×
Citations per year, relative to Manit Munshi
Manit Munshi · 1×

Countries citing papers authored by Manit Munshi

Since Specialization
Citations

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

Fields of papers citing papers by Manit Munshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manit Munshi

This figure shows the co-authorship network connecting the top 25 collaborators of Manit Munshi. A scholar is included among the top collaborators of Manit Munshi 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 Manit Munshi. Manit Munshi 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
# Work Indexed citations
1 1
2 0
3 10
4 9
5 16
6 7
7 7
8 11
9 15
10 10
11 38
12 0
13 69
14 1
15 36
16 2
17 60
18 1
19 1
20 65

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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