Payal Naik

735 total citations
7 papers, 537 citations indexed

About

Payal Naik is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Payal Naik has authored 7 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 2 papers in Pathology and Forensic Medicine and 2 papers in Epidemiology. Recurrent topics in Payal Naik's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Systemic Sclerosis and Related Diseases (2 papers) and Respiratory viral infections research (1 paper). Payal Naik is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Systemic Sclerosis and Related Diseases (2 papers) and Respiratory viral infections research (1 paper). Payal Naik collaborates with scholars based in United States and Italy. Payal Naik's co-authors include Bethany B. Moore, Rebecca Frawley, Mar Gacias, Jeffrey L. Dupree, Patrizia Casaccia, Jia Liu, Tamjeed Sikder, Carol A. Wilke, J. Kelley Bentley and Fernando J. Martínez and has published in prestigious journals such as Journal of Neuroscience, The Journals of Gerontology Series A and American Journal of Physiology-Lung Cellular and Molecular Physiology.

In The Last Decade

Payal Naik

7 papers receiving 532 citations

Peers

Payal Naik
Comparison fields: 5 of 80
  • Pulmonary and Respiratory Medicine 227
  • Developmental Neuroscience 106
  • Molecular Biology 99
  • Physiology 66
  • Neurology 61
Replace G. Androdias with:
G. Androdias France
Hiroyuki Nakayasu Japan
Fumiharu Kimura Japan
Ruchi Kapoor India
D. R. Altmann United Kingdom
Daniel Schilter Switzerland
Milan R. Voško Austria
Yoosun Jung United States
Shelley A. Cross United States
Rana Zabad United States
G. Androdias France View profile →
Citations per field, relative to Payal Naik
Payal Naik · 1×
Citations per year, relative to Payal Naik
Payal Naik · 1×

Countries citing papers authored by Payal Naik

Since Specialization
Citations

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

Fields of papers citing papers by Payal Naik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Payal Naik

This figure shows the co-authorship network connecting the top 25 collaborators of Payal Naik. A scholar is included among the top collaborators of Payal Naik 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 Payal Naik. Payal Naik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 3
2 6
3 201
4 200
5 37
6 88
7 2

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

Rankless by CCL
2026