Rajesh Dash

94 papers receiving 3.5k citations

Rajesh Dash's Hit Papers

Future of Artificial Intelligence—Machine Learning Trends in Pathology and Medicine 2025 · 94 citations
940+8+16Years since publication200400600

Peers

Rajesh Dash
Comparison fields: 5 of 166
  • Reproductive Medicine 287
  • Genetics 295
  • Obstetrics and Gynecology 195
  • Cardiology and Cardiovascular Medicine 528
  • Health Informatics 36
Replace Chiang‐Ching Huang with:
Chiang‐Ching Huang United States
Virginia Kaklamani United States
Hui You China
Shruti Jolly United States
Damien Gruson Belgium
Elena Martinez Stoffel United States
Régis Beuscart France
Adele Caldarella Italy
Yves Reznik France
Ondřej Topolčan Czechia
Rajesh Dash relative to Chiang‐Ching Huang United States Chiang‐Ching Huang's profile →
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Citations per year

Countries citing papers authored by Rajesh Dash

Since Specialization
Citations

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

Fields of papers citing papers by Rajesh Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lymphomas and High-Grade Astrocytomas: Comparison of Water Diffusibility and Histologic Characteristics
Hit paper breakdown →
2002602
2 2001310
3
BMC Medical Informatics and Decision Making
2008297
4 2001143
5 2005139
6 2013122
7 2012114
8 201597
9 200195
10
Future of Artificial Intelligence—Machine Learning Trends in Pathology and Medicine
Hit paper breakdown →
202594
11 200392
12 201288
13 199586
14 201670
15 201366
16 199965
17 199959
18 199756
19 199551
20 201445

About Rajesh Dash

Rajesh Dash is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Public Health, Environmental and Occupational Health, Cancer Research and Health Informatics, having authored 100 papers that have together received 3.6k indexed citations. Recurring topics across this work include Telemedicine and Telehealth Implementation (6 papers), Cardiomyopathy and Myosin Studies (5 papers), Advanced MRI Techniques and Applications (4 papers), Herpesvirus Infections and Treatments (4 papers), Artificial Intelligence in Healthcare and Education (4 papers), Cardiac Imaging and Diagnostics (4 papers), Thyroid Cancer Diagnosis and Treatment (3 papers) and Cardiac electrophysiology and arrhythmias (3 papers). The work is most often cited by research in Reproductive Medicine (287 citations), Genetics (295 citations), Obstetrics and Gynecology (195 citations), Cardiology and Cardiovascular Medicine (528 citations) and Health Informatics (36 citations). Rajesh Dash has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include James M. Provenzale, Thomas J. Cummings, Arthur F. Haney, Matthew J. Snyder, Rex C. Bentley, Robert C. Stern, Stanley J. Robboy, Ram Chilukuri, A. Jamie Cuticchia and Robert P. Annechiarico. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Diagnostic Cytopathology, Journal of Cardiovascular Magnetic Resonance, Journal of the American Heart Association and Magnetic Resonance in Medicine.

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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