Aparna Tripathi

28 total papers · 883 total citations
19 papers, 310 citations indexed

About

Aparna Tripathi is a scholar working on Infectious Diseases, Molecular Biology and Plant Science. According to data from OpenAlex, Aparna Tripathi has authored 19 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Molecular Biology and 4 papers in Plant Science. Recurrent topics in Aparna Tripathi's work include Antifungal resistance and susceptibility (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Viral-associated cancers and disorders (2 papers). Aparna Tripathi is often cited by papers focused on Antifungal resistance and susceptibility (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers) and Viral-associated cancers and disorders (2 papers). Aparna Tripathi collaborates with scholars based in India, United States and Sweden. Aparna Tripathi's co-authors include Kashi Nath Prasad, Sanket K. Shukla, Cristina M. Ovejero, Ashwini K. Srivastava, Binod Kumar Pati, Sumant Puri, Avinash Singh, Bruno González‐Zorn, Alexander Y. Tsygankov and Elisabetta Liverani and has published in prestigious journals such as Journal of Biological Chemistry, Frontiers in Plant Science and The Journal of Nutritional Biochemistry.

In The Last Decade

Aparna Tripathi

16 papers receiving 305 citations

Author Peers

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

Author Last Decade Papers Cites
Aparna Tripathi 121 68 67 52 48 19 310
Julia Howard 108 0.9× 82 1.2× 36 0.5× 45 0.9× 60 1.3× 19 298
P Croughs 86 0.7× 105 1.5× 97 1.4× 48 0.9× 35 0.7× 26 356
G Coman 120 1.0× 68 1.0× 80 1.2× 93 1.8× 13 0.3× 38 362
Zahra Ghafouri 156 1.3× 35 0.5× 51 0.8× 65 1.3× 14 0.3× 17 307
Wangxiao Zhou 122 1.0× 124 1.8× 56 0.8× 137 2.6× 17 0.4× 31 337
Giuseppe Russello 104 0.9× 90 1.3× 45 0.7× 26 0.5× 21 0.4× 24 304
D N Wright 72 0.6× 40 0.6× 26 0.4× 63 1.2× 24 0.5× 26 324
Jeff Fuller 106 0.9× 118 1.7× 66 1.0× 48 0.9× 19 0.4× 13 272
Javad Yasbolaghi Sharahi 161 1.3× 32 0.5× 54 0.8× 146 2.8× 18 0.4× 17 362
Siyuan Feng 174 1.4× 84 1.2× 56 0.8× 68 1.3× 20 0.4× 20 299

Countries citing papers authored by Aparna Tripathi

Since Specialization
Citations

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

Fields of papers citing papers by Aparna Tripathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aparna Tripathi

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