Mercy Pawar

50 total papers · 400 total citations
25 papers, 288 citations indexed

About

Mercy Pawar is a scholar working on Molecular Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mercy Pawar has authored 25 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Ophthalmology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mercy Pawar's work include Retinal Diseases and Treatments (8 papers), Retinal Development and Disorders (7 papers) and Ocular Infections and Treatments (5 papers). Mercy Pawar is often cited by papers focused on Retinal Diseases and Treatments (8 papers), Retinal Development and Disorders (7 papers) and Ocular Infections and Treatments (5 papers). Mercy Pawar collaborates with scholars based in United States, India and Germany. Mercy Pawar's co-authors include Cagri G. Besirli, Khalil N. Bitar, Suresh B. Patil, Thomas J. Wubben, Heather Hager, Eric Weh, Andrew J. H. Smith, Andrew D. Smith, P. P. Vaishnava and Hakan Demirci and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Ophthalmology.

In The Last Decade

Mercy Pawar

24 papers receiving 287 citations

Author Peers

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

Author Last Decade Papers Cites
Mercy Pawar 192 82 50 34 32 25 288
Sofia M. Calado 169 0.9× 60 0.7× 21 0.4× 27 0.8× 26 0.8× 20 246
Sheik Pran Babu Sardar Pasha 176 0.9× 95 1.2× 29 0.6× 58 1.7× 15 0.5× 15 279
Yi Liao 228 1.2× 56 0.7× 24 0.5× 22 0.6× 8 0.3× 21 323
Jin Yao 118 0.6× 91 1.1× 32 0.6× 49 1.4× 19 0.6× 17 307
Toshiro Iwagawa 272 1.4× 57 0.7× 20 0.4× 34 1.0× 9 0.3× 26 308
Subbulakshmi Chidambaram 222 1.2× 63 0.8× 33 0.7× 47 1.4× 19 0.6× 28 326
Monica Aronsson 232 1.2× 141 1.7× 40 0.8× 69 2.0× 11 0.3× 20 299
Fei Xu 263 1.4× 107 1.3× 36 0.7× 45 1.3× 5 0.2× 31 329
Yu-Hsien Lee 84 0.4× 23 0.3× 58 1.2× 61 1.8× 17 0.5× 29 328
Yuxiang Du 108 0.6× 84 1.0× 15 0.3× 49 1.4× 16 0.5× 25 311

Countries citing papers authored by Mercy Pawar

Since Specialization
Citations

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

Fields of papers citing papers by Mercy Pawar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mercy Pawar

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026