Nitin Bajaj

647 citations
27 papers · 439 · h-index 7

Impact in

    • Venous Thromboembolism Diagnosis and Management
  • Hematology top 10%
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Coronary Interventions and Diagnostics 4
    • Case Reports on Hematomas 1
    • Animal health and immunology 4

Nitin Bajaj

22 papers receiving 425 citations

Peers

Nitin Bajaj
Comparison fields: 5 of 67
  • Internal Medicine 97
  • Hematology 61
  • Genetics 101
  • Cancer Research 50
  • Nephrology 20
Replace Changjie Song with:
Changjie Song Australia
Dan Koyanagi United States
M.M. Ewing Netherlands
Katerina Pyrillou United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Nitin Bajaj

Since Specialization
Citations

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

Fields of papers citing papers by Nitin Bajaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017202
2 2013111
3 201830
4 201922
5 202115
6 201014
7 20247
8 20165
9 20104
10 20164
11
Diagnosis and treatment of bovine endometritis--a review
20133
12 20173
13 20223
14 20123
15 20212
16 20242
17 20222
18 20222
19 20231
20
Conception rate in postpartum anoestrus buffaloes treated with different synchronization protocols
20201

About Nitin Bajaj

Nitin Bajaj is a scholar working on Surgery, Small Animals, Agronomy and Crop Science, Genetics and Internal Medicine, having authored 27 papers that have together received 439 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (6 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Animal health and immunology (4 papers), High Altitude and Hypoxia (4 papers), Coronary Interventions and Diagnostics (4 papers), Vascular Procedures and Complications (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Case Reports on Hematomas (1 paper). The work is most often cited by research in Internal Medicine (97 citations), Hematology (61 citations), Genetics (101 citations), Cancer Research (50 citations) and Nephrology (20 citations). Nitin Bajaj has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Velu Nair, Mohammad Zahid Ashraf, Tarun Tyagi, Neha Gupta, Anita Sahu, Amit Prabhakar, Tathagata Chatterjee, Babita Kumari, Manish Sharma and Nilofar Khan. Their work appears in journals such as Catheterization and Cardiovascular Interventions, Thrombosis and Haemostasis, Thrombosis Research, Neurology and Frontiers in Veterinary Science.

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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