Srikar Mapakshi

14 total papers · 879 total citations
9 papers, 648 citations indexed

About

Srikar Mapakshi is a scholar working on Epidemiology, Hepatology and Oncology. According to data from OpenAlex, Srikar Mapakshi has authored 9 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Hepatology and 3 papers in Oncology. Recurrent topics in Srikar Mapakshi's work include Liver Disease Diagnosis and Treatment (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Hepatitis C virus research (2 papers). Srikar Mapakshi is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Hepatitis C virus research (2 papers). Srikar Mapakshi collaborates with scholars based in United States. Srikar Mapakshi's co-authors include Jennifer R. Kramer, Fasiha Kanwal, Hashem B. El‐Serag, Peter Richardson, Steven M. Asch, Maneerat Chayanupatkul, Yamini Natarajan, Liang Li, Roxanne Desiderio and Jinna Chu and has published in prestigious journals such as Gastroenterology, The American Journal of Gastroenterology and Clinical Gastroenterology and Hepatology.

In The Last Decade

Srikar Mapakshi

8 papers receiving 640 citations

Hit Papers

Risk of Hepatocellular Ca... 2018 2026 2020 2023 2018 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Srikar Mapakshi 520 390 128 75 69 9 648
Roxanne Desiderio 523 1.0× 342 0.9× 160 1.3× 80 1.1× 70 1.0× 9 675
Jinna Chu 515 1.0× 363 0.9× 134 1.0× 78 1.0× 75 1.1× 6 632
Janine Graham 522 1.0× 430 1.1× 110 0.9× 76 1.0× 125 1.8× 5 655
Kazuyuki Ohata 543 1.0× 386 1.0× 104 0.8× 51 0.7× 71 1.0× 16 768
Antonio Félix Conde-Martín 543 1.0× 332 0.9× 206 1.6× 109 1.5× 45 0.7× 10 692
Mobolaji Odewole 482 0.9× 381 1.0× 120 0.9× 94 1.3× 120 1.7× 9 786
Mariam Ziayee 512 1.0× 354 0.9× 151 1.2× 75 1.0× 58 0.8× 3 633
Luminita Bonyhay 576 1.1× 477 1.2× 183 1.4× 153 2.0× 50 0.7× 12 765
Mehdi Ramezani–Moghadam 443 0.9× 207 0.5× 98 0.8× 50 0.7× 33 0.5× 11 607
Ilaria Serio 562 1.1× 362 0.9× 197 1.5× 73 1.0× 21 0.3× 21 741

Countries citing papers authored by Srikar Mapakshi

Since Specialization
Citations

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

Fields of papers citing papers by Srikar Mapakshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srikar Mapakshi

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

All Works

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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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2026