Tapas Dora

29 papers receiving 317 citations

Peers

Tapas Dora
Comparison fields: 5 of 59
  • Obstetrics and Gynecology 103
  • Biophysics 56
  • Drug Discovery 1
  • Otorhinolaryngology 20
  • Analytical Chemistry 46
Replace L.C. Orlandini with:
L.C. Orlandini China
Philippa Pearmain United Kingdom
Yao Ai China
Marita Morgia Australia
Maria Paola Cariaggi Italy
Juebin Jin China
Po‐Ming Wang Taiwan
Emanuela Cagna Italy
Yongai Li China
Melissa Joyner United States
Tapas Dora relative to L.C. Orlandini China L.C. Orlandini's profile →
Citations per field
00.5×10.5×
L.C. Orlandini · 1×
Citations per year

Countries citing papers authored by Tapas Dora

Since Specialization
Citations

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

Fields of papers citing papers by Tapas Dora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201454
2 201431
3 201625
4 202325
5 201521
6 202320
7 201919
8 201516
9 201514
10 202013
11 202110
12 20158
13 20228
14 20187
15 20147
16 20166
17 20146
18 20216
19 20223
20 20233

About Tapas Dora

Tapas Dora is a scholar working on Obstetrics and Gynecology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 321 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (10 papers), Gastric Cancer Management and Outcomes (4 papers), Head and Neck Cancer Studies (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Management of metastatic bone disease (2 papers), Scientific and Engineering Research Topics (2 papers) and Infrared Thermography in Medicine (2 papers). The work is most often cited by research in Obstetrics and Gynecology (103 citations), Biophysics (56 citations), Drug Discovery (1 citation), Otorhinolaryngology (20 citations) and Analytical Chemistry (46 citations). Tapas Dora has collaborated with scholars based in India and United States. Frequent co-authors include Supriya Chopra, Reena Engineer, Umesh Mahantshetty, Shyam Kishore Shrivastava, Amita Maheshwari, Siji Nojin Paul, Reena Phurailatpam, C. Murali Krishna, Rubina Shaikh and Rajesh Dikshit. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, British Journal of Radiology, Journal of Biophotonics, Head & Neck and Journal of Biomedical Optics.

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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