Nirav Dhanesha

1.9k citations
57 papers · 1.3k · h-index 25

Impact in

    • Cell Adhesion Molecules Research
  • Immunology top 10%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Atherosclerosis and Cardiovascular Diseases

Papers in

Nirav Dhanesha

51 papers receiving 1.3k citations

Peers

Nirav Dhanesha
Comparison fields: 5 of 95
  • Immunology and Allergy 104
  • Immunology 297
  • Neurology 101
  • Internal Medicine 38
  • Endocrinology, Diabetes and Metabolism 156
Replace Prakash Doddapattar with:
Prakash Doddapattar United States
Guenter Daum United States
Talija Djordjevic Germany
J Kao United States
Mauro Torti Italy
Taiki Tojo Japan
Giuseppe Straface Italy
Xiaoxia Z. West United States
Tom Seijkens Netherlands
Nirav Dhanesha relative to Prakash Doddapattar United States Prakash Doddapattar's profile →
Citations per field
00.5×4.7×
Prakash Doddapattar · 1×
Citations per year

Countries citing papers authored by Nirav Dhanesha

Since Specialization
Citations

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

Fields of papers citing papers by Nirav Dhanesha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021108
2 202290
3 201960
4 201557
5 201653
6 202052
7 202048
8 201845
9 201444
10 201142
11 202140
12 201838
13 201437
14 201535
15 202333
16 202032
17 202031
18 201329
19 201328
20 201228

About Nirav Dhanesha

Nirav Dhanesha is a scholar working on Immunology and Allergy, Immunology, Molecular Biology, Cancer Research and Epidemiology, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (14 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Acute Ischemic Stroke Management (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Diabetes Treatment and Management (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (4 papers) and Protease and Inhibitor Mechanisms (4 papers). The work is most often cited by research in Immunology and Allergy (104 citations), Immunology (297 citations), Neurology (101 citations), Internal Medicine (38 citations) and Endocrinology, Diabetes and Metabolism (156 citations). Nirav Dhanesha has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Anil K. Chauhan, Prakash Doddapattar, Manish Jain, Steven R. Lentz, Mukul R. Jain, Amit Joharapurkar, Manasa K. Nayak, Madankumar Ghatge, Prem Prakash and Samadhan Kshirsagar. Their work appears in journals such as Blood, Arteriosclerosis Thrombosis and Vascular Biology, Pharmacological Reports, Stroke and Clinical and Experimental Pharmacology and Physiology.

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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