Deepak Mital

864 citations
32 papers · 648 indexed · h-index 13

Impact in

Papers in

    • Renal Transplantation Outcomes and Treatments 8
    • Pancreatic function and diabetes 10
    • Organ Transplantation Techniques and Outcomes 8
    • Xenotransplantation and immune response 6

Deepak Mital

29 papers receiving 628 citations

Peers

Deepak Mital
Comparison fields: 5 of 62
  • Transplantation 135
  • Hepatology 167
  • Epidemiology 215
  • Obstetrics and Gynecology 46
  • Pathology and Forensic Medicine 105
Replace Kiil Park with:
Kiil Park South Korea
J. L. Touraine France
S Fuchinoue Japan
Isabelle Houde Canada
Raffaele Dalla Valle Italy
Anne Modesto France
M. Knoop Germany
F.-R. Pruvot France
Panagiotis Tryphonopoulos United States
Abid Suddle United Kingdom
Deepak Mital relative to Kiil Park South Korea Kiil Park's profile →
Citations per field
00.5×4.6×
Kiil Park · 1×
Citations per year

Countries citing papers authored by Deepak Mital

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Mital

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Deepak Mital, 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 Deepak Mital Line = papers co-authored together Deepak Mital links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 200323
3 200272
4 2002106
5 200137
6 19991
7 19991
8 199820
9 19988
10 1997115
11 199717
12 19970
13 199712
14 19977
15 19972
16 19973
17 199613
18 199625
19 199551
20 19943

About Deepak Mital

Deepak Mital is a scholar working on Transplantation, Surgery, Genetics, Hepatology and Physiology, having authored 32 papers that have together received 648 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (10 papers), Renal Transplantation Outcomes and Treatments (8 papers), Organ Transplantation Techniques and Outcomes (8 papers), Xenotransplantation and immune response (6 papers), Organ Donation and Transplantation (5 papers), Renal and Vascular Pathologies (5 papers), Virus-based gene therapy research (4 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Transplantation (135 citations), Hepatology (167 citations), Epidemiology (215 citations), Obstetrics and Gynecology (46 citations) and Pathology and Forensic Medicine (105 citations). Deepak Mital has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Stephen C. Jensik, Howard Sankary, James W. Williams, Preston Foster, Anita S. Chong, Selmin Karademir, F Fabrega, Lawrence McChesney, Wan‐Yun Huang and Jikun Shen. Their work appears in journals such as Transplantation, Transplant International, Cell Transplantation, Journal of Clinical Gastroenterology and Transplantation Proceedings.

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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