Arka Das

1.0k citations
41 papers · 547 indexed · h-index 15

Impact in

Papers in

Arka Das

39 papers receiving 527 citations

Peers

Arka Das
Comparison fields: 5 of 71
  • Pathology and Forensic Medicine 204
  • Genetics 108
  • Rheumatology 127
  • Cardiology and Cardiovascular Medicine 182
  • Radiology, Nuclear Medicine and Imaging 168
Replace Machiko Nishimura with:
Machiko Nishimura Japan
F. Sarrot-Reynauld France
M Modesti Italy
G Pokorny Hungary
Paul Emery United Kingdom
Domenico Sambataro Italy
Shabina Sultan United Kingdom
Jason J. Lee Canada
C McClinton United Kingdom
Hajime Hirano Japan
Arka Das relative to Machiko Nishimura Japan Machiko Nishimura's profile →
Citations per field
00.5×4.5×
Machiko Nishimura · 1×
Citations per year

Countries citing papers authored by Arka Das

Since Specialization
Citations

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

Fields of papers citing papers by Arka Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198789
2 198747
3 199142
4 199137
5 198726
6 202125
7 202022
8 199620
9 202120
10 201920
11 202118
12 200616
13 198315
14 202015
15 202214
16 202114
17 202212
18 198912
19 20209
20 20209

About Arka Das

Arka Das is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Genetics, Nephrology and Pathology and Forensic Medicine, having authored 41 papers that have together received 547 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (15 papers), Cardiac Imaging and Diagnostics (12 papers), Cardiovascular Function and Risk Factors (10 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Autoimmune Bullous Skin Diseases (5 papers), Cardiac Structural Anomalies and Repair (4 papers), Acute Myocardial Infarction Research (4 papers) and Cardiac Valve Diseases and Treatments (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (204 citations), Genetics (108 citations), Rheumatology (127 citations), Cardiology and Cardiovascular Medicine (182 citations) and Radiology, Nuclear Medicine and Imaging (168 citations). Arka Das has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Martin M. Black, Phillip H. McKee, Fenella Wojnarowska, B.S. Bhogal, Sven Plein, B. Bhogal, Erica Dall’Armellina, R.A. Marsden, Jürgen E. Schneider and Irvin Teh. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, European Heart Journal - Cardiovascular Imaging, Histopathology, British Journal of Dermatology and Journal of Magnetic Resonance Imaging.

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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