Nirav R. Bhakta

7.1k total citations · 3 hit papers
46 papers, 3.9k citations indexed

About

Nirav R. Bhakta is a scholar working on Pulmonary and Respiratory Medicine, Physiology and Immunology. According to data from OpenAlex, Nirav R. Bhakta has authored 46 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pulmonary and Respiratory Medicine, 18 papers in Physiology and 14 papers in Immunology. Recurrent topics in Nirav R. Bhakta's work include Asthma and respiratory diseases (14 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers) and Respiratory Support and Mechanisms (7 papers). Nirav R. Bhakta is often cited by papers focused on Asthma and respiratory diseases (14 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers) and Respiratory Support and Mechanisms (7 papers). Nirav R. Bhakta collaborates with scholars based in United States, Canada and Australia. Nirav R. Bhakta's co-authors include Prescott G. Woodruff, Richard S. Lewis, John V. Fahy, David Y. Oh, Ellen A. Robey, Philippe Bousso, Karin D. Prummel, Henok Eyob, Kai Kessenbrock and Zena Werb and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Nirav R. Bhakta

44 papers receiving 3.9k citations

Hit Papers

Single-cell analysis reveals a stem-cell program in human... 2015 2026 2018 2022 2015 2021 2022 200 400 600

Peers

Nirav R. Bhakta
Comparison fields: 5 of 147
  • Molecular Biology 1.3k
  • Physiology 1.1k
  • Pulmonary and Respiratory Medicine 1.0k
  • Immunology 1.0k
  • Cancer Research 828
Replace Kathleen J. Haley with:
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Satoshi Ito Japan
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Shoji Okinaga Japan
Raffaele De Palma Italy
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Kathleen J. Haley United States View profile →
Citations per field, relative to Nirav R. Bhakta
Nirav R. Bhakta · 1×
Citations per year, relative to Nirav R. Bhakta
Nirav R. Bhakta · 1×

Countries citing papers authored by Nirav R. Bhakta

Since Specialization
Citations

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

Fields of papers citing papers by Nirav R. Bhakta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nirav R. Bhakta

This figure shows the co-authorship network connecting the top 25 collaborators of Nirav R. Bhakta. A scholar is included among the top collaborators of Nirav R. Bhakta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nirav R. Bhakta. Nirav R. Bhakta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 22
3 1
4
A Race-neutral Approach to the Interpretation of Lung Function Measurements breakdown →
141
5 19
6 1
7 58
8 29
9 49
10 7
11 22
12 159
13 84
14 187
15 47
16 199
17 118
18 68
19
Molecular mechanisms of paraptosis induction: implications for a non-genetic modified tumor vaccine
3
20 202

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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