Nitin Modi

13 papers receiving 253 citations

Peers

Nitin Modi
Comparison fields: 5 of 35
  • Orthopedics and Sports Medicine 83
  • Epidemiology 74
  • Cardiology and Cardiovascular Medicine 38
  • Anesthesiology and Pain Medicine 11
  • Surgery 45
Replace Lance S. Estrada with:
Lance S. Estrada United States
René Aigner Germany
Charles A. Mick United States
Birgit C. Hanusch United Kingdom
Naiyer Asif India
George Ochenjele United States
Takahisa Ogawa Japan
Natalia Crespí Villarías Spain
Priscila Katsumi Matsuoka Brazil
Neil L. Duplantier United States
Nitin Modi relative to Lance S. Estrada United States Lance S. Estrada's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nitin Modi

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Modi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Nitin Modi, 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 Nitin Modi Line = papers co-authored together Nitin Modi links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200383
2 202054
3 201947
4 201524
5
Assessment of right ventricular diastolic function: does it predict post-operative course in tetralogy of Fallot.
200516
6 202012
7 202110
8
Sonographically guided thrombin injection for the treatment of femoral artery pseudoaneurysm.
20048
9 20207
10 20154
11 20164
12 20151
13 20211

About Nitin Modi

Nitin Modi is a scholar working on Orthopedics and Sports Medicine, Epidemiology, Oncology, Anesthesiology and Pain Medicine and Neurology, having authored 13 papers that have together received 271 indexed citations. Recurring topics across this work include COVID-19 and healthcare impacts (2 papers), Tendon Structure and Treatment (2 papers), Congenital Heart Disease Studies (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Acute Myocardial Infarction Research (1 paper), Enhanced Recovery After Surgery (1 paper), Vascular Procedures and Complications (1 paper) and Cardiac Imaging and Diagnostics (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (83 citations), Epidemiology (74 citations), Cardiology and Cardiovascular Medicine (38 citations), Anesthesiology and Pain Medicine (11 citations) and Surgery (45 citations). Nitin Modi has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Steven Cutts, Nakul Sinha, S. Radhakrishnan, Naveen Garg, Chandra Pasapula, Aditya Kapoor, Sanjay Saran Baijal, Prabhat Tewari, Manoj Kathuria and Pravin Kumar Goel. Their work appears in journals such as European Journal of Orthopaedic Surgery & Traumatology, International Journal of Cardiology, The Lancet, Postgraduate Medical Journal and International Journal of Shoulder Surgery.

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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