Veeresh Patil

25 papers receiving 580 citations

Peers

Veeresh Patil
Comparison fields: 5 of 84
  • Immunology and Allergy 204
  • Physiology 228
  • Dermatology 63
  • Emergency Medical Services 36
  • Health, Toxicology and Mutagenesis 66
Replace Kuan‐Wen Su with:
Kuan‐Wen Su Taiwan
Hugo Van Bever Singapore
Alessandro Bodini Italy
You-Young Kim South Korea
Fabio Decimo Italy
Henrik Fomsgaard Kjær Denmark
Rosalia Emma Italy
Marit Westman Sweden
Yong Mean Park South Korea
Sung‐Yoon Kang South Korea
Veeresh Patil relative to Kuan‐Wen Su Taiwan Kuan‐Wen Su's profile →
Citations per field
00.5×10×15×22×
Kuan‐Wen Su · 1×
Citations per year

Countries citing papers authored by Veeresh Patil

Since Specialization
Citations

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

Fields of papers citing papers by Veeresh Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Veeresh Patil, 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 Veeresh Patil Line = papers co-authored together Veeresh Patil 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 201376
2 201653
3 202345
4 201644
5 201542
6 201439
7 201538
8 201637
9 201329
10 201429
11 201525
12 201624
13 201421
14 201321
15 201917
16 201214
17 202013
18 201910
19 20216
20 20152

About Veeresh Patil

Veeresh Patil is a scholar working on Physiology, Molecular Biology, Immunology and Allergy, Pulmonary and Respiratory Medicine and Surgery, having authored 27 papers that have together received 592 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (10 papers), Epigenetics and DNA Methylation (9 papers), Food Allergy and Anaphylaxis Research (6 papers), Allergic Rhinitis and Sensitization (5 papers), Birth, Development, and Health (5 papers), IL-33, ST2, and ILC Pathways (4 papers), Health, Environment, Cognitive Aging (4 papers) and Eosinophilic Esophagitis (3 papers). The work is most often cited by research in Immunology and Allergy (204 citations), Physiology (228 citations), Dermatology (63 citations), Emergency Medical Services (36 citations) and Health, Toxicology and Mutagenesis (66 citations). Veeresh Patil has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Syed Hasan Arshad, Wilfried Karmaus, John W. Holloway, Hongmei Zhang, Susan Ewart, Nelís Soto-Ramírez, Carina Venter, Jane Grundy, Taraneh Dean and Gabrielle A. Lockett. Their work appears in journals such as Clinical Epigenetics, Pediatric Allergy and Immunology, Journal of Allergy and Clinical Immunology, Clinical & Experimental Allergy and Epigenomics.

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.

Explore authors with similar magnitude of impact