Dhananjay Wagh

5.3k total citations · 2 hit papers
16 papers, 1.8k citations indexed

About

Dhananjay Wagh is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dhananjay Wagh has authored 16 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 5 papers in Molecular Biology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dhananjay Wagh's work include Cellular transport and secretion (6 papers), Vector-borne infectious diseases (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Dhananjay Wagh is often cited by papers focused on Cellular transport and secretion (6 papers), Vector-borne infectious diseases (3 papers) and Neurobiology and Insect Physiology Research (3 papers). Dhananjay Wagh collaborates with scholars based in United States, Germany and India. Dhananjay Wagh's co-authors include Stephan J. Sigrist, Carolin Wichmann, Tobias M. Rasse, Erich Buchner, Manuela Schmidt, Robert J. Kittel, Esther Asan, Marie‐Christine Dabauvalle, Alois Hofbauer and Sigrid Buchner and has published in prestigious journals such as Science, Nature Communications and Neuron.

In The Last Decade

Dhananjay Wagh

16 papers receiving 1.7k citations

Hit Papers

Bruchpilot, a Protein with Homology to ELKS/CAST, Is Requ... 2006 2026 2012 2019 2006 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dhananjay Wagh United States 14 1.1k 801 642 174 138 16 1.8k
Jay Z. Parrish United States 24 648 0.6× 1.4k 1.7× 405 0.6× 207 1.2× 46 0.3× 36 2.2k
JoAnn Buchanan United States 17 1.1k 1.1× 1.4k 1.7× 656 1.0× 129 0.7× 101 0.7× 24 3.0k
Barbara W. Bernstein United States 16 486 0.5× 937 1.2× 933 1.5× 68 0.4× 200 1.4× 25 2.0k
Shohei Maékawa Japan 25 384 0.4× 1.4k 1.7× 1.1k 1.7× 112 0.6× 139 1.0× 89 2.2k
Gilbert L. Henry United States 11 374 0.4× 1.3k 1.6× 212 0.3× 332 1.9× 62 0.4× 13 1.7k
Kiwamu Takemoto Japan 16 413 0.4× 905 1.1× 256 0.4× 60 0.3× 143 1.0× 29 1.5k
Mie Kubota Japan 8 547 0.5× 1.8k 2.3× 403 0.6× 358 2.1× 510 3.7× 9 2.6k
Richard T. Ambron United States 26 737 0.7× 685 0.9× 279 0.4× 148 0.9× 59 0.4× 61 1.9k
Konark Mukherjee United States 21 574 0.5× 1.3k 1.6× 979 1.5× 231 1.3× 47 0.3× 41 1.9k
Motojiro Yoshihara United States 19 1.1k 1.1× 1.2k 1.5× 681 1.1× 175 1.0× 11 0.1× 27 1.8k

Countries citing papers authored by Dhananjay Wagh

Since Specialization
Citations

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

Fields of papers citing papers by Dhananjay Wagh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhananjay Wagh

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

All Works

16 of 16 papers shown
1.
Wu, Peng, Matt Fish, Florette K. Hazard, et al.. (2024). A developmental biliary lineage program cooperates with Wnt activation to promote cell proliferation in hepatoblastoma. Nature Communications. 15(1). 10007–10007. 2 indexed citations
2.
Wang, James, Aris J. Kare, Shaunak Adkar, et al.. (2023). Combined near infrared photoacoustic imaging and ultrasound detects vulnerable atherosclerotic plaque. Biomaterials. 302. 122314–122314. 11 indexed citations
3.
Januszyk, Michael, Kellen Chen, Dominic Henn, et al.. (2020). Characterization of Diabetic and Non-Diabetic Foot Ulcers Using Single-Cell RNA-Sequencing. Micromachines. 11(9). 815–815. 41 indexed citations
4.
Jungari, Suresh, B Sharma, & Dhananjay Wagh. (2019). Beyond Maternal Mortality: A Systematic Review of Evidences on Mistreatment and Disrespect During Childbirth in Health Facilities in India. Trauma Violence & Abuse. 22(4). 739–751. 28 indexed citations
5.
Terry-Lorenzo, Ryan T., Viviana I. Torres, Dhananjay Wagh, et al.. (2016). Trio, a Rho Family GEF, Interacts with the Presynaptic Active Zone Proteins Piccolo and Bassoon. PLoS ONE. 11(12). e0167535–e0167535. 17 indexed citations
6.
Pothineni, Venkata Raveendra, Dhananjay Wagh, Mustafeez Mujtaba Babar, et al.. (2016). Screening of NCI-DTP library to identify new drug candidates for Borrelia burgdorferi. The Journal of Antibiotics. 70(3). 308–312. 16 indexed citations
7.
Pothineni, Venkata Raveendra, Dhananjay Wagh, Mustafeez Mujtaba Babar, et al.. (2016). Identification of new drug candidates against Borrelia burgdorferi using high-throughput screening. Drug Design Development and Therapy. 10. 1307–1307. 42 indexed citations
8.
Pothineni, Venkata Raveendra, Dhananjay Wagh, Mohammed Inayathullah, et al.. (2015). Borreliacidal activity of Borrelia metal transporter A (BmtA) binding small molecules by manganese transport inhibition. Drug Design Development and Therapy. 9. 805–805. 16 indexed citations
9.
Wagh, Dhananjay, Ryan T. Terry-Lorenzo, Clarissa L. Waites, et al.. (2015). Piccolo Directs Activity Dependent F-Actin Assembly from Presynaptic Active Zones via Daam1. PLoS ONE. 10(4). e0120093–e0120093. 30 indexed citations
10.
Serpooshan, Vahid, Senthilkumar Sivanesan, Morteza Mahmoudi, et al.. (2014). [Pyr1]-Apelin-13 delivery via nano-liposomal encapsulation attenuates pressure overload-induced cardiac dysfunction. Biomaterials. 37. 289–298. 37 indexed citations
11.
Jiang, Xinguo, Andrey V. Malkovskiy, Wen Tian, et al.. (2013). Promotion of airway anastomotic microvascular regeneration and alleviation of airway ischemia by deferoxamine nanoparticles. Biomaterials. 35(2). 803–813. 46 indexed citations
12.
Maas, Christoph, Viviana I. Torres, Wilko D. Altrock, et al.. (2012). Formation of Golgi-Derived Active Zone Precursor Vesicles. Journal of Neuroscience. 32(32). 11095–11108. 69 indexed citations
13.
Yu, Wendou, Jai S. Polepalli, Dhananjay Wagh, et al.. (2011). A critical role for the PAR-1/MARK-tau axis in mediating the toxic effects of Aβ on synapses and dendritic spines. Human Molecular Genetics. 21(6). 1384–1390. 86 indexed citations
14.
Wagh, Dhananjay, Tobias M. Rasse, Esther Asan, et al.. (2006). Bruchpilot, a Protein with Homology to ELKS/CAST, Is Required for Structural Integrity and Function of Synaptic Active Zones in Drosophila. Neuron. 51(2). 275–275. 21 indexed citations
15.
Wagh, Dhananjay, Tobias M. Rasse, Esther Asan, et al.. (2006). Bruchpilot, a Protein with Homology to ELKS/CAST, Is Required for Structural Integrity and Function of Synaptic Active Zones in Drosophila. Neuron. 49(6). 833–844. 698 indexed citations breakdown →
16.
Kittel, Robert J., Carolin Wichmann, Tobias M. Rasse, et al.. (2006). Bruchpilot Promotes Active Zone Assembly, Ca 2+ Channel Clustering, and Vesicle Release. Science. 312(5776). 1051–1054. 602 indexed citations breakdown →

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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