Nitesh Jain

922 total citations
62 papers, 490 citations indexed

About

Nitesh Jain is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Infectious Diseases. According to data from OpenAlex, Nitesh Jain has authored 62 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Surgery, 17 papers in Pulmonary and Respiratory Medicine and 10 papers in Infectious Diseases. Recurrent topics in Nitesh Jain's work include SARS-CoV-2 and COVID-19 Research (5 papers), Urological Disorders and Treatments (4 papers) and Urinary and Genital Oncology Studies (4 papers). Nitesh Jain is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Urological Disorders and Treatments (4 papers) and Urinary and Genital Oncology Studies (4 papers). Nitesh Jain collaborates with scholars based in United States, India and Pakistan. Nitesh Jain's co-authors include C. S. Pitchumoni, Neha Agarwal, Thoyaja Koritala, Syed Anjum Khan, Shobha Sondhia, Naresh Chandra, Ramesh Adhikari, Anjana Srivastava, Anwar Khedr and Ho Yee Tiong and has published in prestigious journals such as SHILAP Revista de lepidopterología, CHEST Journal and Critical Care Medicine.

In The Last Decade

Nitesh Jain

54 papers receiving 471 citations

Peers

Nitesh Jain
Comparison fields: 5 of 108
  • Surgery 146
  • Oncology 105
  • Pulmonary and Respiratory Medicine 104
  • General Health Professions 65
  • Infectious Diseases 47
Rahmatollah Moradzadeh Iran
Mark L. Kovler United States
Rosario Barranco Italy
Emmanuelle Williams United States
Elizabeth Lee United States
Judith Racapé Belgium
Luc Brun France
Kamyar Mansori Iran
Lisa Owens Ireland
Jeffrey Jacobs United States
Rahmatollah Moradzadeh Iran View profile →
Citations per field, relative to Nitesh Jain
Nitesh Jain · 1×
Citations per year, relative to Nitesh Jain
Nitesh Jain · 1×

Countries citing papers authored by Nitesh Jain

Since Specialization
Citations

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

Fields of papers citing papers by Nitesh Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nitesh Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Nitesh Jain. A scholar is included among the top collaborators of Nitesh Jain 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 Nitesh Jain. Nitesh Jain 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 1
3 0
4 1
5 1
6 1
7 26
8 7
9 3
10 3
11 0
12 7
13 15
14 12
15 3
16 1
17 6
18 1
19 3
20 0

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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