Pranav Ish

1.8k citations
121 papers · 813 · h-index 16

Impact in

Papers in

    • Chronic Obstructive Pulmonary Disease (COPD) Research 15
    • Respiratory Support and Mechanisms 15
    • Tracheal and airway disorders 8
    • COVID-19 Clinical Research Studies 24
    • SARS-CoV-2 and COVID-19 Research 14
    • Tuberculosis Research and Epidemiology 8

Pranav Ish

89 papers receiving 779 citations

Peers

Pranav Ish
Comparison fields: 5 of 111
  • Infectious Diseases 437
  • Modeling and Simulation 80
  • Neurology 177
  • Health 60
  • General Dentistry 10
Replace Cunjin Wu with:
Cunjin Wu China
Jawad Ahmed Pakistan
Charles Raine United Kingdom
Nitesh Gupta India
Lyda Z. Rojas Colombia
Nina M. de Gruijter United Kingdom
Kokab Younis Canada
Aizza Zafar Pakistan
Karen Bucher
Carlos A. Fermín‐Martínez Mexico
Pranav Ish relative to Cunjin Wu China Cunjin Wu's profile →
Citations per field
00.5×10×20×29.7×
Cunjin Wu · 1×
Citations per year

Countries citing papers authored by Pranav Ish

Since Specialization
Citations

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

Fields of papers citing papers by Pranav Ish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020150
2 202082
3 202040
4 202238
5 202129
6 202029
7 202027
8 202025
9 202124
10 202123
11 202123
12 202122
13 202017
14 202117
15 202217
16 202015
17 202111
18 202110
19 202010
20 20189

About Pranav Ish

Pranav Ish is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Surgery, Physiology and Neurology, having authored 121 papers that have together received 813 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (24 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (15 papers), Respiratory Support and Mechanisms (15 papers), SARS-CoV-2 and COVID-19 Research (14 papers), Obstructive Sleep Apnea Research (13 papers), Long-Term Effects of COVID-19 (11 papers), Tracheal and airway disorders (8 papers) and Tuberculosis Research and Epidemiology (8 papers). The work is most often cited by research in Infectious Diseases (437 citations), Modeling and Simulation (80 citations), Neurology (177 citations), Health (60 citations) and General Dentistry (10 citations). Pranav Ish has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Nitesh Gupta, Nipun Malhotra, Sumita Agrawal, Karthikeyan P. Iyengar, Vijay Kumar Jain, Sahaj Rathi, Rajni Gaind, M. K. Sen, Shriprakash Kalantri and G Usha. Their work appears in journals such as QJM, Postgraduate Medical Journal, Diabetes & Metabolic Syndrome Clinical Research & Reviews, The Indian Journal of Medical Research and Sensors and Actuators B Chemical.

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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