Nilam Ramsinghani

726 citations
33 papers · 610 · h-index 16

Impact in

Papers in

Nilam Ramsinghani

31 papers receiving 587 citations

Peers

Nilam Ramsinghani
Comparison fields: 5 of 61
  • Obstetrics and Gynecology 172
  • Otorhinolaryngology 74
  • Radiation 105
  • Hepatology 65
  • Reproductive Medicine 36
Replace Rosa Autorino with:
Rosa Autorino Italy
I. Fumagalli France
Iwao Tsukiyama Japan
Gaia Piperno Italy
Supriya Chopra India
Shigeyuki Murayama Japan
Zachary D. Horne United States
M Chatani Japan
Mark D. Logsdon United States
Nilam Ramsinghani relative to Rosa Autorino Italy Rosa Autorino's profile →
Citations per field
00.5×2×3.0×
Rosa Autorino · 1×
Citations per year

Countries citing papers authored by Nilam Ramsinghani

Since Specialization
Citations

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

Fields of papers citing papers by Nilam Ramsinghani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199483
2 200053
3 201244
4 201242
5 201040
6 201640
7 199439
8
Use of Yttrium-90 TheraSphere for the treatment of unresectable hepatocellular carcinoma.
200436
9 200434
10 200230
11 199526
12 200625
13 200218
14 199717
15 200115
16 199615
17 201210
18 20157
19 20016
20 20135

About Nilam Ramsinghani

Nilam Ramsinghani is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Surgery, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology, having authored 33 papers that have together received 610 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (15 papers), Medical Imaging Techniques and Applications (9 papers), Management of metastatic bone disease (6 papers), Endometrial and Cervical Cancer Treatments (4 papers), Radiation Therapy and Dosimetry (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Renal cell carcinoma treatment (2 papers) and Optical Imaging and Spectroscopy Techniques (2 papers). The work is most often cited by research in Obstetrics and Gynecology (172 citations), Otorhinolaryngology (74 citations), Radiation (105 citations), Hepatology (65 citations) and Reproductive Medicine (36 citations). Nilam Ramsinghani has collaborated with scholars based in United States, South Korea and Mexico. Frequent co-authors include Muthana Al‐Ghazi, A.M. Nisar Syed, Bradley J. Monk, Alberto Manetta, Michael L. Berman, Philip J. DiSaia, Jeffrey Kuo, Ajmel Puthawala, Robert A. Burger and D Roa. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical dosimetry, Gynecologic Oncology, Medical Physics and Practical Radiation Oncology.

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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