Srikanth S. Manda

4.9k total citations
26 papers, 936 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 26 papers receiving a total of 936 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, Sandip Chavan, Sneha M. Pinto, Santosh Renuse and Joel S. Bader 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 930 citations

Peers

Srikanth S. Manda

ONCOL

PHEOH

IMMUN

Lynda J. Partridge United Kingdom

Jin Zhu China

Joseph W. Foley United States

Bruce Motyka Canada

Verônica Morandi Brazil

Jessica Lawrence United States

Rebecca J. Ormsby Australia

Myung‐Shin Lee South Korea

Pascal Bigey France

Lynda J. Partridge United Kingdom

Srikanth S. Manda

331 ×0.8

37 ×0.3

ONCOL

70 ×0.6

PHEOH

254 ×2.2

IMMUN

47 ×0.4

Citations per year, relative to Srikanth S. Manda Srikanth S. Manda (= 1×) peers Lynda J. Partridge

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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20 of 20 papers shown

Rajan, Karthikeyan, Srikanth S. Manda, B.R. Radha Krushna, et al.. (2025). Transformative Eu3+ doped CoFe2O4 nanoparticles: A next-generation approach to high-performance energy storage, photocatalysis, and therapeutic applications. Inorganic Chemistry Communications. 177. 114399–114399. 2 indexed citations

Ruperao, Pradeep, Vinod Kumar Valluri, Srikanth S. Manda, et al.. (2025). Assessing genetic diversity and performing genome‐wide association studies (GWAS) using multiple marker types across desi, kabuli, and wild accessions in chickpea ( Cicer arietinum L.). The Plant Genome. 18(4). e70149–e70149.

Noronha, Vanita, Srikanth S. Manda, Rohit Mishra, et al.. (2023). Whole exome sequencing uncovers HRAS mutations as potential mediators of resistance to metronomic chemotherapy. Gene. 893. 147952–147952. 4 indexed citations

Manda, Srikanth S., et al.. (2021). PIONEER: Pipeline for Generating High‐Quality Spectral Libraries for DIA‐MS Data. Current Protocols. 1(3). e69–e69. 2 indexed citations

Logan, Jayden, Mark S. Pearson, Srikanth S. Manda, et al.. (2020). Comprehensive analysis of the secreted proteome of adult Necator americanus hookworms. PLoS neglected tropical diseases. 14(5). e0008237–e0008237. 30 indexed citations

Kohansal-Nodehi, Mahdokht, et al.. (2017). Proteomic profiling of human intraschisis cavity fluid. Clinical Proteomics. 14(1). 13–13. 10 indexed citations

Yadavalli, Srujana S., Savita Jayaram, Srikanth S. Manda, et al.. (2017). Data-Driven Discovery of Extravasation Pathway in Circulating Tumor Cells. Scientific Reports. 7(1). 43710–43710. 28 indexed citations

Manda, Srikanth S., Chris J. Mitchell, Sreelakshmi K. Sreenivasamurthy, et al.. (2016). Long non-coding RNA expression in primary human monocytes. Genomics. 108(1). 37–45. 18 indexed citations

Pawar, Harsh, Srikanth S. Manda, Manoj Kumar Kashyap, et al.. (2015). Downregulation of S100 Calcium Binding Protein A9 in Esophageal Squamous Cell Carcinoma. The Scientific World JOURNAL. 2015(1). 325721–325721. 8 indexed citations

10.

Wu, Xinyan, Muhammad Saddiq Zahari, Santosh Renuse, et al.. (2015). Phosphoproteomic Analysis Identifies Focal Adhesion Kinase 2 (FAK2) as a Potential Therapeutic Target for Tamoxifen Resistance in Breast Cancer. Molecular & Cellular Proteomics. 14(11). 2887–2900. 20 indexed citations

11.

Subbannayya, Yashwanth, Santosh Renuse, Srikanth S. Manda, et al.. (2015). Identification of differentially expressed serum proteins in gastric adenocarcinoma. Journal of Proteomics. 127(Pt A). 80–88. 50 indexed citations

12.

Li, Renfeng, Gangling Liao, Raja Sekhar Nirujogi, et al.. (2015). Phosphoproteomic Profiling Reveals Epstein-Barr Virus Protein Kinase Integration of DNA Damage Response and Mitotic Signaling. PLoS Pathogens. 11(12). e1005346–e1005346. 50 indexed citations

13.

Beachley, Vince, Matthew T. Wolf, Kaitlyn Sadtler, et al.. (2015). Tissue matrix arrays for high-throughput screening and systems analysis of cell function. Nature Methods. 12(12). 1197–1204. 136 indexed citations

14.

Murthy, Krishna R., Renu Goel, Yashwanth Subbannayya, et al.. (2014). Proteomic analysis of human vitreous humor. Clinical Proteomics. 11(1). 29–29. 109 indexed citations

15.

Balakrishnan, Lavanya, Mitali Bhattacharjee, Sartaj Ahmad, et al.. (2014). Differential proteomic analysis of synovial fluid from rheumatoid arthritis and osteoarthritis patients. Clinical Proteomics. 11(1). 1–1. 140 indexed citations

16.

Nirujogi, Raja Sekhar, Srikanth S. Manda, Sandip Chavan, et al.. (2013). Proteomic analysis of human follicular fluid: A new perspective towards understanding folliculogenesis. Journal of Proteomics. 87. 68–77. 121 indexed citations

17.

Goel, Renu, Krishna R. Murthy, Srikanth S. Manda, et al.. (2013). Characterizing the normal proteome of human ciliary body. Clinical Proteomics. 10(1). 9–9. 35 indexed citations

18.

Marimuthu, Arivusudar, Sandip Chavan, Gajanan Sathe, et al.. (2013). Identification of head and neck squamous cell carcinoma biomarker candidates through proteomic analysis of cancer cell secretome. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1834(11). 2308–2316. 51 indexed citations

19.

Pawar, Harsh, Manoj Kumar Kashyap, Jyoti Sharma, et al.. (2012). Downregulation of cornulin in esophageal squamous cell carcinoma. Acta Histochemica. 115(2). 89–99. 25 indexed citations

20.

Suriyanarayanan, N., et al.. (2011). ELECTRICAL PROPERTIES OF CDS THIN FILMS BY VACUUM EVAPORATION DEPOSITION.

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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