Shravani Mukherjee

15 total papers · 1.2k total citations
5 papers, 792 citations indexed

About

Shravani Mukherjee is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shravani Mukherjee has authored 5 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Physiology and 1 paper in Pulmonary and Respiratory Medicine. Recurrent topics in Shravani Mukherjee's work include Telomeres, Telomerase, and Senescence (2 papers), Mitochondrial Function and Pathology (2 papers) and Endoplasmic Reticulum Stress and Disease (1 paper). Shravani Mukherjee is often cited by papers focused on Telomeres, Telomerase, and Senescence (2 papers), Mitochondrial Function and Pathology (2 papers) and Endoplasmic Reticulum Stress and Disease (1 paper). Shravani Mukherjee collaborates with scholars based in India and United States. Shravani Mukherjee's co-authors include Manish Kumar, Ulaganathan Mabalirajan, Soumya Sinha Roy, Tanveer Ahmad, Bijay Pattnaik, Balaram Ghosh, Anurag Agrawal, Brijendra K Tiwari, Rakhshinda Rehman and Suchita Singh and has published in prestigious journals such as Nature Communications, The EMBO Journal and Biophysical Journal.

In The Last Decade

Shravani Mukherjee

5 papers receiving 782 citations

Author Peers

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

Author						Papers	Cites
Shravani Mukherjee	550	132	126	124	97	5	792
Nalle Pentinmikko	504 0.9×	79 0.6×	52 0.4×	55 0.4×	123 1.3×	12	733
JT den Dunnen	400 0.7×	55 0.4×	66 0.5×	43 0.3×	66 0.7×	6	824
Anaïs Wanet	482 0.9×	68 0.5×	99 0.8×	62 0.5×	252 2.6×	7	681
Paola Aguiari	461 0.8×	89 0.7×	146 1.2×	60 0.5×	37 0.4×	11	694
Judith N. Haslett	709 1.3×	132 1.0×	109 0.9×	87 0.7×	38 0.4×	11	880
Olivia Lansinger	367 0.7×	234 1.8×	98 0.8×	113 0.9×	80 0.8×	7	745
Emmalee R. Adelman	539 1.0×	237 1.8×	98 0.8×	128 1.0×	121 1.2×	10	895
R. White	516 0.9×	52 0.4×	52 0.4×	31 0.3×	66 0.7×	6	829
Alysen Clark	479 0.9×	69 0.5×	95 0.8×	29 0.2×	81 0.8×	6	658
Yann Nouët	606 1.1×	124 0.9×	112 0.9×	21 0.2×	130 1.3×	8	825

Countries citing papers authored by Shravani Mukherjee

Since Specialization

Citations

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

Fields of papers citing papers by Shravani Mukherjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shravani Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Shravani Mukherjee. A scholar is included among the top collaborators of Shravani Mukherjee 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 Shravani Mukherjee. Shravani Mukherjee 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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