Srikanth S. Manda

68 total papers · 4.8k total citations
25 papers, 928 citations indexed

About

Srikanth S. Manda is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Srikanth S. Manda has authored 25 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Srikanth S. Manda's work include Peptidase Inhibition and Analysis (4 papers), Ubiquitin and proteasome pathways (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). Srikanth S. Manda is often cited by papers focused on Peptidase Inhibition and Analysis (4 papers), Ubiquitin and proteasome pathways (3 papers) and Advanced Proteomics Techniques and Applications (3 papers). Srikanth S. Manda collaborates with scholars based in India, United States and Australia. Srikanth S. Manda's co-authors include Akhilesh Pandey, Harsha Gowda, Thottethodi Subrahmanya Keshava Prasad, Raja Sekhar Nirujogi, Yashwanth Subbannayya, Nandini A. Sahasrabuddhe, Sneha M. Pinto, Sandip Chavan, Santosh Renuse and Drew M. Pardoll and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Methods and Scientific Reports.

In The Last Decade

Srikanth S. Manda

24 papers receiving 923 citations

Author Peers

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

Author Last Decade Papers Cites
Srikanth S. Manda 398 126 119 114 113 25 928
Irit Adini 477 1.2× 239 1.9× 119 1.0× 188 1.6× 105 0.9× 32 1.2k
Kenneth J. Mandell 508 1.3× 105 0.8× 105 0.9× 177 1.6× 104 0.9× 27 1.1k
Claus B. Andersen 187 0.5× 73 0.6× 143 1.2× 73 0.6× 45 0.4× 27 906
Andy J.G. Pötgens 645 1.6× 113 0.9× 63 0.5× 269 2.4× 174 1.5× 25 1.1k
Candida Vaz 508 1.3× 62 0.5× 178 1.5× 97 0.9× 313 2.8× 25 950
Min Hu 312 0.8× 203 1.6× 36 0.3× 107 0.9× 337 3.0× 26 1.0k
Ronald Peek 461 1.2× 104 0.8× 399 3.4× 185 1.6× 37 0.3× 42 1.2k
Ding Ma 553 1.4× 195 1.5× 51 0.4× 150 1.3× 165 1.5× 33 910
Paul Mellor 475 1.2× 285 2.3× 43 0.4× 132 1.2× 131 1.2× 32 1.1k
Elena Krayukhina 607 1.5× 50 0.4× 62 0.5× 548 4.8× 70 0.6× 20 1.2k

Countries citing papers authored by Srikanth S. Manda

Since Specialization
Citations

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

Fields of papers citing papers by Srikanth S. Manda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Srikanth S. Manda. 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 Srikanth S. Manda. The network helps show where Srikanth S. Manda may publish in the future.

Co-authorship network of co-authors of Srikanth S. Manda

This figure shows the co-authorship network connecting the top 25 collaborators of Srikanth S. Manda. A scholar is included among the top collaborators of Srikanth S. Manda 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 Srikanth S. Manda. Srikanth S. Manda 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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