Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Recent advances of silver nanoparticle-based polymer nanocomposites for biomedical applications
This map shows the geographic impact of P. Sudhakar'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 P. Sudhakar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Sudhakar more than expected).
This network shows the impact of papers produced by P. Sudhakar. 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 P. Sudhakar. The network helps show where P. Sudhakar may publish in the future.
Co-authorship network of co-authors of P. Sudhakar
This figure shows the co-authorship network connecting the top 25 collaborators of P. Sudhakar.
A scholar is included among the top collaborators of P. Sudhakar 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 P. Sudhakar. P. Sudhakar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sudhakar, P., et al.. (2020). Deep Convolution Neural Network With Logistic Regression Based Image Retrieval And Classification Model For Recommendation System. International journal of scientific and technology research. 9(1). 1137–1145.1 indexed citations
Sudhakar, P., et al.. (2018). Evaluation of blackgram (Vigna mungo L. Hepper) genotypes for growth parameters under imposed moisture stress condition. Journal of Pharmacognosy and Phytochemistry. 7(6). 981–986.4 indexed citations
Muvva, Vijayalakshmi, et al.. (2016). ANTIMICROBIAL POTENTIAL OF STREPTOMYCES CHEONANENSIS VUK-A FROM MANGROVE ORIGIN. International Journal of Pharmacy and Pharmaceutical Sciences. 8(3). 53–57.21 indexed citations
12.
Sudhakar, P., et al.. (2015). Biochemical basis of resistance to thrips in groundnut. Current biotica. 8(4). 382–394.
13.
Sudhakar, P., et al.. (2013). Evaluation of physiological efficiency and yield potential of rice under aerobic condition. BIOINFOLET - A Quarterly Journal of Life Sciences. 10. 209–213.
14.
Sudhakar, P., et al.. (2012). Influence of cultural conditions for improved production of bioactive metabolites by Streptomyces cheonanensis VUK-A isolated from coringa mangrove ecosystem. Current Trends in Biotechnology and Pharmacy. 6(1). 99–111.8 indexed citations
15.
Sudhakar, P., et al.. (2012). Analysis of genetic diversity of field bean genotypes showing resistance to pod borers and pod bugs using RAPD technique. Current biotica. 5(4). 421–427.1 indexed citations
16.
Latha, P., et al.. (2011). Estimation of groundnut kernel aflatoxins by high performance liquid chromatography using immunoaffinity column clean up and post column photochemical derivatization.. Legume Research - An International Journal. 34(1). 31–35.1 indexed citations
17.
Sudhakar, P., et al.. (2009). Evaluation of F1 hybrids of tomato (Solanum lycopersicum L.).. The Journal of Research ANGRAU. 37. 77–81.1 indexed citations
18.
Sudhakar, P., et al.. (2007). RELATIONSHIP OF DROUGHT TOLERANCE TRAITS WITH AFLATOXIN CONTAMINATION IN GROUNDNUT. Indian Journal of Plant Physiology. 12(3). 261–265.6 indexed citations
19.
Sudhakar, P., et al.. (2000). Effect of Azotobacter biofertilizer with inorganic nitrogen on leaf yield and quality of mulberry (Morus alba L.. Tropical Science. 40(2). 75–82.1 indexed citations
20.
Sudhakar, P., et al.. (2000). Evaluation of some nitrogen fixing bacteria for control of foliar diseases of mulberry (Morus alba).. Indian Journal of Sericulture. 39(1). 9–11.9 indexed citations
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.