Michael D. Jain

7.5k citations
105 papers · 1.5k indexed · 1 hit paper · h-index 22

Impact in

Papers in

Michael D. Jain

97 papers receiving 1.5k citations

Hit Papers

How I Treat Refractory CRS and ICANS Following CAR T-cell Therapy 2023 · 94 citations
942023202620242025255075

Peers

Michael D. Jain
Comparison fields: 5 of 84
  • Oncology 1.2k
  • Pathology and Forensic Medicine 320
  • Genetics 278
  • Hematology 110
  • Immunology 197
Replace Anthony J. Jaslowski with:
Anthony J. Jaslowski United States
Francesca Negri Italy
Shinji Itoyama Japan
Liat Drucker Israel
Jörn Gröne Germany
Carol Wong Hong Kong
Philipp von Breitenbuch Germany
Karey Shumansky Canada
Pilar España Spain
Michael D. Jain relative to Anthony J. Jaslowski United States Anthony J. Jaslowski's profile →
Citations per field
00.5×
Anthony J. Jaslowski · 1×
Citations per year

Countries citing papers authored by Michael D. Jain

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Jain. 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 Michael D. Jain. The network helps show where Michael D. Jain may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Michael D. Jain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael D. Jain Line = papers co-authored together Michael D. Jain links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 202429
4 20242
5 20235
6 20231
7 202317
8 202320
9 20236
10 202316
11 202236
12 20211
13 202110
14 20212
15 202187
16 202118
17 20203
18 2020146
19 20191
20 20188

About Michael D. Jain

Michael D. Jain is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Genetics and Hematology, having authored 105 papers that have together received 1.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (84 papers), Lymphoma Diagnosis and Treatment (24 papers), Biosimilars and Bioanalytical Methods (12 papers), Virus-based gene therapy research (8 papers), Integrated Circuits and Semiconductor Failure Analysis (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Cancer Genomics and Diagnostics (7 papers) and Advancements in Semiconductor Devices and Circuit Design (6 papers). The work is most often cited by research in Oncology (1.2k citations), Pathology and Forensic Medicine (320 citations), Genetics (278 citations), Hematology (110 citations) and Immunology (197 citations). Michael D. Jain has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Frederick L. Locke, Marco L. Davila, Julio C. Chávez, Nirali N. Shah, Bijal Shah, Melody Smith, Kai Rejeski, Aleksandr Lazaryan, Christina A. Bachmeier and H. A. Risch. Their work appears in journals such as Blood, Transplantation and Cellular Therapy, Journal of Clinical Oncology, Blood Advances and International Journal of Radiation Oncology*Biology*Physics.

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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