Vijayakumar Gosu

1.4k total citations · 1 hit paper
25 papers, 961 citations indexed

About

Vijayakumar Gosu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Vijayakumar Gosu has authored 25 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Immunology and 4 papers in Oncology. Recurrent topics in Vijayakumar Gosu's work include Immune Response and Inflammation (9 papers), interferon and immune responses (4 papers) and Computational Drug Discovery Methods (4 papers). Vijayakumar Gosu is often cited by papers focused on Immune Response and Inflammation (9 papers), interferon and immune responses (4 papers) and Computational Drug Discovery Methods (4 papers). Vijayakumar Gosu collaborates with scholars based in South Korea, India and Malaysia. Vijayakumar Gosu's co-authors include Sun Choi, Sunhye Hong, Stephani Joy Y. Macalino, Sangdun Choi, Shaherin Basith, Dhanusha Yesudhas, Muhammad Ayaz Anwar, Donghyun Shin, Prasannavenkatesh Durai and Balachandran Manavalan and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Vijayakumar Gosu

25 papers receiving 949 citations

Hit Papers

Role of computer-aided dr... 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vijayakumar Gosu South Korea 12 512 314 191 121 79 25 961
Manuela S. Murgueitio Germany 14 402 0.8× 273 0.9× 155 0.8× 68 0.6× 48 0.6× 19 742
Minos–Timotheos Matsoukas Greece 19 775 1.5× 231 0.7× 146 0.8× 208 1.7× 79 1.0× 64 1.3k
Foysal Ahammad Saudi Arabia 19 589 1.2× 370 1.2× 99 0.5× 136 1.1× 141 1.8× 40 1.1k
Matteo Floris Italy 19 763 1.5× 455 1.4× 117 0.6× 65 0.5× 72 0.9× 57 1.3k
Shan Chang China 21 1.1k 2.1× 374 1.2× 117 0.6× 73 0.6× 101 1.3× 92 1.6k
Umashankar Vetrivel India 22 718 1.4× 164 0.5× 83 0.4× 87 0.7× 120 1.5× 115 1.3k
M. Yu. Lobanov Russia 9 886 1.7× 293 0.9× 81 0.4× 165 1.4× 108 1.4× 23 1.4k
Yanmin Zhang China 22 766 1.5× 406 1.3× 139 0.7× 302 2.5× 186 2.4× 93 1.5k
Clement Agoni South Africa 18 471 0.9× 229 0.7× 61 0.3× 155 1.3× 70 0.9× 74 924

Countries citing papers authored by Vijayakumar Gosu

Since Specialization
Citations

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

Fields of papers citing papers by Vijayakumar Gosu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vijayakumar Gosu

This figure shows the co-authorship network connecting the top 25 collaborators of Vijayakumar Gosu. A scholar is included among the top collaborators of Vijayakumar Gosu 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 Vijayakumar Gosu. Vijayakumar Gosu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Jiho, Raudah Lazim, Ju Yeon Lee, et al.. (2024). The anticancer effect of metformin targets VDAC1 via ER-mitochondria interactions-mediated autophagy in HCC. Experimental & Molecular Medicine. 56(12). 2714–2725. 9 indexed citations
2.
Gosu, Vijayakumar, et al.. (2024). Deciphering the conformational changes induced by high-risk nsSNPs in β-lactoglobulin. Heliyon. 10(21). e40040–e40040. 5 indexed citations
3.
Lee, Hak‐Kyo, et al.. (2023). Impact of nsSNPs in human AIM2 and IFI16 gene: a comprehensive in silico analysis. Journal of Biomolecular Structure and Dynamics. 42(5). 2603–2615. 11 indexed citations
4.
Jena, Mrutyunjay, et al.. (2023). In Vitro and in silico studies to explore potent antidiabetic inhibitor against human pancreatic alpha-amylase from the methanolic extract of the green microalga Chlorella vulgaris. Journal of Biomolecular Structure and Dynamics. 42(15). 8089–8099. 11 indexed citations
5.
Jayaraman, Manikandan, et al.. (2023). Computational insights into potential marine natural products as selective inhibitors of Mycobacterium tuberculosis InhA: A structure-based virtual screening study. Computational Biology and Chemistry. 108. 107991–107991. 10 indexed citations
6.
Sasidharan, Santanu, Kamalakannan Radhakrishnan, Jun-Yeong Lee, et al.. (2023). Molecular dynamics of the ERRγ ligand-binding domain bound with agonist and inverse agonist. PLoS ONE. 18(4). e0283364–e0283364. 9 indexed citations
7.
Gosu, Vijayakumar, Santanu Sasidharan, Prakash Saudagar, et al.. (2023). Deciphering the intrinsic dynamics of unphosphorylated IRAK4 kinase bound to type I and type II inhibitors. Computers in Biology and Medicine. 160. 106978–106978. 4 indexed citations
8.
Samrot, Antony V., et al.. (2023). Rising Influence of Nanotechnology in Addressing Oxidative Stress-Related Liver Disorders. Antioxidants. 12(7). 1405–1405. 17 indexed citations
9.
Sasidharan, Santanu, et al.. (2021). Therapeutic p28 peptide targets essential H1N1 influenza virus proteins: insights from docking and molecular dynamics simulations. Molecular Diversity. 25(3). 1929–1943. 3 indexed citations
10.
Gosu, Vijayakumar, et al.. (2020). Conformational Changes Induced by S34Y and R98C Variants in the Death Domain of Myd88. Frontiers in Molecular Biosciences. 7. 27–27. 5 indexed citations
11.
Manavalan, Balachandran, Md Mehedi Hasan, Shaherin Basith, et al.. (2020). Empirical Comparison and Analysis of Web-Based DNA N4-Methylcytosine Site Prediction Tools. Molecular Therapy — Nucleic Acids. 22. 406–420. 40 indexed citations
12.
Gosu, Vijayakumar, et al.. (2019). Insights into the dynamic nature of the dsRNA-bound TLR3 complex. Scientific Reports. 9(1). 3652–3652. 34 indexed citations
13.
Cui, Minghua, Vijayakumar Gosu, Shaherin Basith, Sunhye Hong, & Sun Choi. (2016). Polymodal Transient Receptor Potential Vanilloid Type 1 Nocisensor. Advances in protein chemistry and structural biology. 104. 81–125. 38 indexed citations
14.
Macalino, Stephani Joy Y., Vijayakumar Gosu, Sunhye Hong, & Sun Choi. (2015). Role of computer-aided drug design in modern drug discovery. Archives of Pharmacal Research. 38(9). 1686–1701. 482 indexed citations breakdown →
15.
Panneerselvam, Suresh, Dhanusha Yesudhas, Prasannavenkatesh Durai, et al.. (2015). A Combined Molecular Docking/Dynamics Approach to Probe the Binding Mode of Cancer Drugs with Cytochrome P450 3A4. Molecules. 20(8). 14915–14935. 24 indexed citations
16.
Gosu, Vijayakumar & Sangdun Choi. (2014). Structural dynamic analysis of apo and ATP-bound IRAK4 kinase. Scientific Reports. 4(1). 5748–5748. 33 indexed citations
17.
Yesudhas, Dhanusha, Vijayakumar Gosu, Muhammad Ayaz Anwar, & Sangdun Choi. (2014). Multiple Roles of Toll-Like Receptor 4 in Colorectal Cancer. Frontiers in Immunology. 5. 334–334. 82 indexed citations
18.
Basith, Shaherin, Balachandran Manavalan, Vijayakumar Gosu, & Sangdun Choi. (2013). Evolutionary, Structural and Functional Interplay of the IκB Family Members. PLoS ONE. 8(1). e54178–e54178. 23 indexed citations
19.
Gosu, Vijayakumar, Shaherin Basith, Prasannavenkatesh Durai, & Sangdun Choi. (2012). Molecular Evolution and Structural Features of IRAK Family Members. PLoS ONE. 7(11). e49771–e49771. 44 indexed citations
20.
Gosu, Vijayakumar, et al.. (2012). Therapeutic Applications of Nucleic Acids and Their Analogues in Toll-like Receptor Signaling. Molecules. 17(11). 13503–13529. 55 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.

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