Nirav Daphtary

32 papers receiving 624 citations

Peers

Nirav Daphtary
Comparison fields: 5 of 81
  • Physiology 273
  • Immunology and Allergy 46
  • Immunology 151
  • Cell Biology 103
  • Sensory Systems 30
Replace Minara Aliyeva with:
Minara Aliyeva United States
Naila Svitacheva Sweden
Huei Jiunn Seow Australia
Renbin Huang China
F. P. Nijkamp Netherlands
Joe R. Wardell United Kingdom
Diane Cassidy United Kingdom
Hyunjung Kim South Korea
Samuel Chung United States
Lingli Guo China
Nirav Daphtary relative to Minara Aliyeva United States Minara Aliyeva's profile →
Citations per field
00.5×1.5×
Minara Aliyeva · 1×
Citations per year

Countries citing papers authored by Nirav Daphtary

Since Specialization
Citations

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

Fields of papers citing papers by Nirav Daphtary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201376
2 201371
3 201351
4 201949
5 201948
6 201539
7 201635
8 201333
9 201725
10 201622
11 202022
12 201420
13 201919
14 202117
15 201217
16 202213
17 202211
18 20219
19 20178
20 20167

About Nirav Daphtary

Nirav Daphtary is a scholar working on Physiology, Pulmonary and Respiratory Medicine, Immunology, Molecular Biology and Cell Biology, having authored 32 papers that have together received 628 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (17 papers), IL-33, ST2, and ILC Pathways (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Mast cells and histamine (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Respiratory and Cough-Related Research (4 papers), Advanced Chemical Sensor Technologies (3 papers) and Allergic Rhinitis and Sensitization (3 papers). The work is most often cited by research in Physiology (273 citations), Immunology and Allergy (46 citations), Immunology (151 citations), Cell Biology (103 citations) and Sensory Systems (30 citations). Nirav Daphtary has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Minara Aliyeva, Matthew E. Poynter, Charles G. Irvin, Anne E. Dixon, Lennart K. A. Lundblad, Karolyn G. Lahue, Sidra M. Hoffman, Vikas Anathy, Yvonne Janssen‐Heininger and Jane E. Tully. Their work appears in journals such as American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Applied Physiology, The Journal of Immunology, Journal of Breath Research and Frontiers in Pharmacology.

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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