Arun H. Patil

3.8k citations
36 papers · 903 indexed · h-index 17
Topics
RNA modifications and cancer (7 papers)RNA Research and Splicing (6 papers)MicroRNA in disease regulation (5 papers)
Partner nations
IndiaUnited StatesChile

In The Last Decade

Arun H. Patil

36 papers receiving 893 citations

Peers

Arun H. Patil
Comparison fields: 5 of 98
  • Molecular Biology 511
  • Cancer Research 219
  • Virology 126
  • Immunology 101
  • Public Health, Environmental and Occupational Health 87
Replace Francesca Demarchi with:
Francesca Demarchi Italy
Maria A. Halili Australia
Daniela B. Munafó United States
Michaël Kalai Belgium
Keisuke Tabata Japan
Alla V. Tsytsykova United States
Mihiro Yano Japan
Chunmei Li China
Peter Schotte Belgium
Brad Harten United States
Arun H. Patil relative to Francesca Demarchi Italy Francesca Demarchi's profile →
Citations per field
00.5×4.8×
Francesca Demarchi · 1×
Citations per year

Countries citing papers authored by Arun H. Patil

Since Specialization
Citations

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

Fields of papers citing papers by Arun H. Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arun H. Patil. 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 Arun H. Patil. The network helps show where Arun H. Patil may publish in the future.

Co-authorship network of co-authors of Arun H. Patil

This figure shows the co-authorship network connecting the top 25 collaborators of Arun H. Patil. A scholar is included among the top collaborators of Arun H. Patil 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 Arun H. Patil. Arun H. Patil 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
#WorkIndexed citations
1 3
2 8
3 19
4 51
5 9
6 2
7 6
8 22
9 13
10 112
11 6
12 2
13 17
14 25
15 15
16 21
17 28
18 109
19 2
20
Human immunodeficiency virus encephalitis in SCID mice.
136

About Arun H. Patil

Arun H. Patil is a scholar working on Cancer Research, Molecular Medicine and Molecular Biology, having authored 36 papers that have together received 903 indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Virology (126 citations), Cancer Research (219 citations) and Neurology (85 citations). Arun H. Patil has collaborated with scholars based in India, United States and Chile. Frequent co-authors include Thottethodi Subrahmanya Keshava Prasad, Marc K. Halushka, Akhilesh Pandey, Harsha Gowda, Yashwanth Subbannayya, Bipin G. Nair, Sneha M. Pinto, Aditi Chatterjee, Nandini A. Sahasrabuddhe and Srikanth S. Manda. Their work appears in journals such as Scientific Reports, Genome Research and Frontiers in Microbiology.

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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