Deepshikha Mishra

33 total papers · 1.2k total citations
24 papers, 916 citations indexed

About

Deepshikha Mishra is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Environmental Chemistry. According to data from OpenAlex, Deepshikha Mishra has authored 24 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Health, Toxicology and Mutagenesis and 5 papers in Environmental Chemistry. Recurrent topics in Deepshikha Mishra's work include Heavy Metal Exposure and Toxicity (5 papers), Arsenic contamination and mitigation (5 papers) and Sperm and Testicular Function (4 papers). Deepshikha Mishra is often cited by papers focused on Heavy Metal Exposure and Toxicity (5 papers), Arsenic contamination and mitigation (5 papers) and Sperm and Testicular Function (4 papers). Deepshikha Mishra collaborates with scholars based in India, United States and Japan. Deepshikha Mishra's co-authors include S.J.S. Flora, Debabrata Banerjee, Ashish Mehta, Megha Mittal, Sunita Singh, Vidhu Pachauri, Nirmala Jagadish, Anil Suri, Gopeshwar Narayan and Manoj Garg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Deepshikha Mishra

23 papers receiving 894 citations

Author Peers

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

Author Last Decade Papers Cites
Deepshikha Mishra 363 217 189 164 155 24 916
Hossain Uddin Shekhar 352 1.0× 162 0.7× 68 0.4× 111 0.7× 182 1.2× 42 1.2k
Tsu‐Shing Wang 498 1.4× 132 0.6× 118 0.6× 95 0.6× 103 0.7× 28 1.1k
Pallab Shaw 378 1.0× 260 1.2× 63 0.3× 66 0.4× 71 0.5× 25 882
Weipan Xu 351 1.0× 208 1.0× 161 0.9× 102 0.6× 96 0.6× 28 903
Bing Li 412 1.1× 420 1.9× 476 2.5× 146 0.9× 126 0.8× 31 1.0k
Xixi Zhou 432 1.2× 246 1.1× 297 1.6× 67 0.4× 135 0.9× 46 870
Weibing Xing 718 2.0× 274 1.3× 377 2.0× 126 0.8× 146 0.9× 14 1.2k
Ranjit K. Thirumaran 387 1.1× 126 0.6× 162 0.9× 80 0.5× 50 0.3× 22 947
Victoria Wong 377 1.0× 236 1.1× 78 0.4× 169 1.0× 56 0.4× 23 1.0k
Anna Kinoshita 357 1.0× 222 1.0× 175 0.9× 233 1.4× 76 0.5× 35 879

Countries citing papers authored by Deepshikha Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Deepshikha Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepshikha Mishra

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