Tapas Das

3.1k citations
149 papers · 2.5k · h-index 27

Impact in

Papers in

Tapas Das

143 papers receiving 2.4k citations

Peers

Tapas Das
Comparison fields: 5 of 130
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Hepatology 231
  • Pulmonary and Respiratory Medicine 569
  • Oncology 419
  • Radiation 128
Replace Sudipta Chakraborty with:
Sudipta Chakraborty India
Haladhar Dev Sarma India
Alfred D. van het Schip Netherlands
Meera Venkatesh India
Alan R. Fritzberg United States
Alessandra Boschi Italy
M.R.A. Pillai India
David R. Vera United States
Amir Reza Jalilian Iran
Jianzhong Zou China
Tapas Das relative to Sudipta Chakraborty India Sudipta Chakraborty's profile →
Citations per field
00.5×4.5×
Sudipta Chakraborty · 1×
Citations per year

Countries citing papers authored by Tapas Das

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003157
2 2010141
3 199980
4 201273
5 200865
6 201965
7 200761
8 200260
9 201559
10 200853
11 201053
12 200250
13 200943
14 200343
15 200641
16 199040
17 201540
18 200337
19 201434
20 200631

About Tapas Das

Tapas Das is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Materials Chemistry, having authored 149 papers that have together received 2.5k indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (80 papers), Medical Imaging Techniques and Applications (30 papers), Medical Imaging and Pathology Studies (17 papers), Neuroendocrine Tumor Research Advances (12 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Porphyrin and Phthalocyanine Chemistry (9 papers), Bone health and treatments (8 papers) and Photodynamic Therapy Research Studies (7 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.4k citations), Hepatology (231 citations), Pulmonary and Respiratory Medicine (569 citations), Oncology (419 citations) and Radiation (128 citations). Tapas Das has collaborated with scholars based in India, United Kingdom and Hungary. Frequent co-authors include Sharmila Banerjee, Haladhar Dev Sarma, Sudipta Chakraborty, Meera Venkatesh, M.R.A. Pillai, Grace Samuel, Graeme Alexander, Matthew Hoare, N. Ramamoorthy and Ashutosh Dash. Their work appears in journals such as Cancer Biotherapy and Radiopharmaceuticals, Nuclear Medicine and Biology, Applied Radiation and Isotopes, Journal of Radioanalytical and Nuclear Chemistry and Nuclear Medicine Communications.

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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