Changdev G. Gadhe

744 total citations
48 papers, 608 citations indexed

About

Changdev G. Gadhe is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Changdev G. Gadhe has authored 48 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Oncology and 15 papers in Computational Theory and Mathematics. Recurrent topics in Changdev G. Gadhe's work include Computational Drug Discovery Methods (15 papers), Drug Transport and Resistance Mechanisms (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Changdev G. Gadhe is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Drug Transport and Resistance Mechanisms (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Changdev G. Gadhe collaborates with scholars based in South Korea, India and Egypt. Changdev G. Gadhe's co-authors include Seung Joo Cho, Gugan Kothandan, Thirumurthy Madhavan, Anand Balupuri, Ae Nim Pae, Sang Min Lim, Mi‐Hyun Kim, Ashwini M. Londhe, C. Justin Lee and Cheol Hee Choi and has published in prestigious journals such as PLoS ONE, Journal of Medicinal Chemistry and Molecules.

In The Last Decade

Changdev G. Gadhe

48 papers receiving 586 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Changdev G. Gadhe South Korea 15 340 170 150 135 54 48 608
Roberto Nuti Italy 11 304 0.9× 168 1.0× 93 0.6× 165 1.2× 26 0.5× 16 628
Mingyun Shen China 14 687 2.0× 299 1.8× 166 1.1× 110 0.8× 40 0.7× 15 1.0k
Teng-Kuang Yeh Taiwan 15 372 1.1× 84 0.5× 292 1.9× 113 0.8× 53 1.0× 26 832
Hayarpi Torosyan United States 9 350 1.0× 215 1.3× 104 0.7× 41 0.3× 40 0.7× 11 576
Malkeet Singh Bahia India 15 343 1.0× 130 0.8× 255 1.7× 99 0.7× 34 0.6× 35 901
Chayan Acharya United States 11 330 1.0× 146 0.9× 53 0.4× 107 0.8× 22 0.4× 16 611
Natesh Singh France 10 371 1.1× 150 0.9× 51 0.3× 112 0.8× 21 0.4× 16 582
Marlet Martínez‐Archundia Mexico 13 335 1.0× 123 0.7× 68 0.5× 35 0.3× 39 0.7× 39 542
Markus Boehringer Switzerland 10 588 1.7× 158 0.9× 209 1.4× 170 1.3× 36 0.7× 11 898
Aina Westrheim Ravna Norway 18 449 1.3× 108 0.6× 53 0.4× 188 1.4× 30 0.6× 42 714

Countries citing papers authored by Changdev G. Gadhe

Since Specialization
Citations

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

Fields of papers citing papers by Changdev G. Gadhe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Changdev G. Gadhe. 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 Changdev G. Gadhe. The network helps show where Changdev G. Gadhe may publish in the future.

Co-authorship network of co-authors of Changdev G. Gadhe

This figure shows the co-authorship network connecting the top 25 collaborators of Changdev G. Gadhe. A scholar is included among the top collaborators of Changdev G. Gadhe 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 Changdev G. Gadhe. Changdev G. Gadhe 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.
Zhang, Haiying, Hyun Jung Kwak, Changdev G. Gadhe, et al.. (2023). A novel small molecule, CU05-1189, targeting the pleckstrin homology domain of PDK1 suppresses VEGF-mediated angiogenesis and tumor growth by blocking the Akt signaling pathway. Frontiers in Pharmacology. 14. 1275749–1275749. 3 indexed citations
2.
Ju, Yeon Ha, Seung Jae Hyeon, Changdev G. Gadhe, et al.. (2020). PyrPeg, a Blood–Brain-Barrier-Penetrating Two-Photon Imaging Probe, Selectively Detects Neuritic Plaques, Not Tau Aggregates. ACS Chemical Neuroscience. 11(12). 1801–1810. 13 indexed citations
3.
Shin, Seulgi, Sungsu Lim, Ji Yeon Song, et al.. (2019). Development of an Aryloxazole Derivative as a Brain-Permeable Anti-Glioblastoma Agent. Pharmaceutics. 11(10). 497–497. 2 indexed citations
4.
Fang, Zhenghuan, Kyung Hee Jung, Ju‐Hyeon Lee, et al.. (2018). A novel tropomyosin-related kinase A inhibitor, KK5101 to treat pancreatic cancer. Cancer Letters. 426. 25–36. 7 indexed citations
5.
Gadhe, Changdev G., Jina Kim, Sung Jin Cho, et al.. (2018). Identification of crizotinib derivatives as potent SHIP2 inhibitors for the treatment of Alzheimer's disease. European Journal of Medicinal Chemistry. 157. 405–422. 17 indexed citations
7.
Kothandan, Gugan, et al.. (2014). The nociceptin receptor (NOPR) and its interaction with clinically important agonist molecules: a membrane molecular dynamics simulation study. Molecular BioSystems. 10(12). 3188–3198. 10 indexed citations
8.
Balupuri, Anand, et al.. (2014). Docking-based 3D-QSAR study of pyridyl aminothiazole derivatives as checkpoint kinase 1 inhibitors. SAR and QSAR in environmental research. 25(8). 651–671. 12 indexed citations
9.
Kim, Namil, Jeongyeon Park, Changdev G. Gadhe, et al.. (2014). A Protoberberine Derivative HWY336 Selectively Inhibits MKK4 and MKK7 in Mammalian Cells: The Importance of Activation Loop on Selectivity. PLoS ONE. 9(4). e91037–e91037. 15 indexed citations
10.
Balupuri, Anand, et al.. (2013). In silico study on indole derivatives as anti HIV-1 agents: a combined docking, molecular dynamics and 3D-QSAR study. Archives of Pharmacal Research. 37(8). 1001–1015. 23 indexed citations
11.
Gadhe, Changdev G., Gugan Kothandan, & Seung Joo Cho. (2013). Binding site exploration of CCR5 using in silico methodologies: a 3D-QSAR approach. Archives of Pharmacal Research. 36(1). 6–31. 7 indexed citations
12.
Gadhe, Changdev G., et al.. (2013). Modeling Study of Phenylsulfonylfuroxan Derivatives as P-gp Inhibitors: A Combined Approach of CoMFA, CoMSIA and HQSAR. Anti-Cancer Agents in Medicinal Chemistry. 14(7). 1019–1030. 2 indexed citations
13.
Gadhe, Changdev G., Gugan Kothandan, & Seung Il Cho. (2013). In Silico Study of Desmosdumotin as an Anticancer Agent: Homology Modeling, Docking and Molecular Dynamics Simulation Approach. Anti-Cancer Agents in Medicinal Chemistry. 13(10). 1636–1644. 7 indexed citations
14.
Gadhe, Changdev G., Gugan Kothandan, & Seung Joo Cho. (2012). Computational modeling of human coreceptor CCR5 antagonist as a HIV-1 entry inhibitor: using an integrated homology modeling, docking, and membrane molecular dynamics simulation analysis approach. Journal of Biomolecular Structure and Dynamics. 31(11). 1251–1276. 14 indexed citations
15.
Kothandan, Gugan, Changdev G. Gadhe, & Seung Joo Cho. (2012). Structural Insights from Binding Poses of CCR2 and CCR5 with Clinically Important Antagonists: A Combined In Silico Study. PLoS ONE. 7(3). e32864–e32864. 37 indexed citations
16.
Gadhe, Changdev G. & Seung Joo Cho. (2011). Modulation of Multidrug Resistance in Cancer by P-Glycoprotein. 4(1). 23–30. 3 indexed citations
17.
Gadhe, Changdev G., Thirumurthy Madhavan, Gugan Kothandan, & Seung Joo Cho. (2011). In Silico Quantitative Structure-Activity Relationship Studies on P-gp Modulators of Tetrahydroisoquinoline-Ethyl-Phenylamine Series. BMC Structural Biology. 11(1). 5–5. 21 indexed citations
18.
Kothandan, Gugan, Changdev G. Gadhe, Thirumurthy Madhavan, Cheol Hee Choi, & Seung Joo Cho. (2011). Docking and 3D-QSAR (quantitative structure activity relationship) studies of flavones, the potent inhibitors of p-glycoprotein targeting the nucleotide binding domain. European Journal of Medicinal Chemistry. 46(9). 4078–4088. 47 indexed citations
19.
Madhavan, Thirumurthy, Jaeyoon Chung, Gugan Kothandan, Changdev G. Gadhe, & Seung Joo Cho. (2011). 3D‐QSAR Studies of JNK1 Inhibitors Utilizing Various Alignment Methods. Chemical Biology & Drug Design. 79(1). 53–67. 8 indexed citations
20.
Kothandan, Gugan, Thirumurthy Madhavan, Changdev G. Gadhe, & Seung Joo Cho. (2010). Pseudoreceptor: Concept and an Overview. 3(3). 162–167. 6 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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