Mallikarjun Patil

1.6k citations
54 papers · 1.0k indexed · h-index 17
Topics
Drug-Induced Hepatotoxicity and Protection (10 papers)Drug-Induced Adverse Reactions (5 papers)Liver Disease Diagnosis and Treatment (5 papers)
Journals
CirculationSHILAP Revista de lepidopterologíaHepatology
Partner nations
IndiaUnited StatesQatar

In The Last Decade

Mallikarjun Patil

44 papers receiving 1.0k citations

Peers

Mallikarjun Patil
Comparison fields: 5 of 106
  • Molecular Biology 447
  • Pharmacology 233
  • Oncology 189
  • Epidemiology 185
  • Cancer Research 119
Replace Ying Mu with:
Ying Mu United States
Sheng‐Yow Ho Taiwan
Hideharu Domoto Japan
Takashi Matsubara Japan
Yang Xie China
Annette Grambihler Germany
Mieko Iwahashi United States
Yu Toyoda Japan
John C. Marecki United States
Zhangzhe Peng China
Mallikarjun Patil relative to Ying Mu United States Ying Mu's profile →
Citations per field
00.5×2.8×
Ying Mu · 1×
Citations per year

Countries citing papers authored by Mallikarjun Patil

Since Specialization
Citations

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

Fields of papers citing papers by Mallikarjun Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mallikarjun Patil

This figure shows the co-authorship network connecting the top 25 collaborators of Mallikarjun Patil. A scholar is included among the top collaborators of Mallikarjun 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 Mallikarjun Patil. Mallikarjun 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 5
2 1
3 3
4 2
5 3
6 5
7 1
8 0
9 1
10 5
11 54
12 3
13 69
14 44
15 9
16 9
17 17
18 225
19 52
20 4

About Mallikarjun Patil

Mallikarjun Patil is a scholar working on Pharmacology, Otorhinolaryngology and Hepatology, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (10 papers), Drug-Induced Adverse Reactions (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Pharmacology (233 citations), Hepatology (110 citations) and Cancer Research (119 citations). Mallikarjun Patil has collaborated with scholars based in India, United States and Qatar. Frequent co-authors include Zheng Dong, Navjotsingh Pabla, Harshad Devarbhavi, Keyur A. Sheth, Prasanna Krishnamurthy, Rajvir Singh, C. K. Adarsh, Gopalkrishna Sreejit, Girisha Balaraju and John Henderson. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and Hepatology.

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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