Ankit Modh

648 citations
26 papers · 467 · h-index 11

Impact in

Papers in

Ankit Modh

24 papers receiving 463 citations

Peers

Ankit Modh
Comparison fields: 5 of 34
  • Radiation 136
  • Obstetrics and Gynecology 63
  • Pulmonary and Respiratory Medicine 214
  • Otorhinolaryngology 24
  • Hepatology 26
Replace Tamara LaCouture with:
Tamara LaCouture United States
Takashi Aruga Japan
Fuxin Guo China
Arun S. Oinam India
Sinisa Stanic United States
Gurvan Dissaux France
André Buchali Germany
Silvana Parisi Italy
Sea-Won Lee South Korea
I. Bonucci Italy
Ankit Modh relative to Tamara LaCouture United States Tamara LaCouture's profile →
Citations per field
00.5×2.7×
Tamara LaCouture · 1×
Citations per year

Countries citing papers authored by Ankit Modh

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Modh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015129
2 201488
3 201441
4 201939
5 202025
6 201424
7 201622
8 201917
9 201712
10 201712
11 202111
12 20189
13 20177
14 20206
15 20206
16 20174
17 20184
18
Radiation Utilization Trends in the Treatment of Brain Metastases from Non-Small Cell Lung Cancer
20173
19 20173
20 20181

About Ankit Modh

Ankit Modh is a scholar working on Pulmonary and Respiratory Medicine, Obstetrics and Gynecology, Genetics, Oncology and Radiation, having authored 26 papers that have together received 467 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (8 papers), Brain Metastases and Treatment (5 papers), Glioma Diagnosis and Treatment (4 papers), Advanced Radiotherapy Techniques (3 papers), Lung Cancer Research Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers), Lung Cancer Diagnosis and Treatment (2 papers) and Head and Neck Cancer Studies (1 paper). The work is most often cited by research in Radiation (136 citations), Obstetrics and Gynecology (63 citations), Pulmonary and Respiratory Medicine (214 citations), Otorhinolaryngology (24 citations) and Hepatology (26 citations). Ankit Modh has collaborated with scholars based in United States. Frequent co-authors include Andreas Rimner, Abraham J. Wu, Ellen Yorke, Andrew Jackson, Kenneth E. Rosenzweig, Daphna Y. Gelblum, Mohamed A. Elshaikh, Charlotte Burmeister, J. Haseltine and Eric Williams. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Brachytherapy, Neuro-Oncology, Neurology and International Journal of Pediatric Otorhinolaryngology.

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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