Chandra P. Joshi

641 total citations
31 papers, 467 citations indexed

About

Chandra P. Joshi is a scholar working on Radiation, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chandra P. Joshi has authored 31 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiation, 11 papers in Molecular Biology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chandra P. Joshi's work include Advanced Radiotherapy Techniques (13 papers), Photoreceptor and optogenetics research (7 papers) and Photosynthetic Processes and Mechanisms (7 papers). Chandra P. Joshi is often cited by papers focused on Advanced Radiotherapy Techniques (13 papers), Photoreceptor and optogenetics research (7 papers) and Photosynthetic Processes and Mechanisms (7 papers). Chandra P. Joshi collaborates with scholars based in Canada, United States and Germany. Chandra P. Joshi's co-authors include Maarten P. Heyn, Harald Otto, Michael A. Cusanovich, Berthold Borucki, Masaki Osawa, Harold Erickson, L J Schreiner, Tai‐Yen Chen, Peng Chen and Terry E. Meyer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Chandra P. Joshi

30 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chandra P. Joshi Canada 14 265 132 77 65 58 31 467
Alexey Mishin Russia 14 322 1.2× 106 0.8× 23 0.3× 13 0.2× 4 0.1× 37 436
Joanne Marrison United Kingdom 15 508 1.9× 22 0.2× 7 0.1× 73 1.1× 24 0.4× 22 772
B. Bennett United States 11 541 2.0× 44 0.3× 48 0.6× 26 0.4× 4 0.1× 23 677
Annie Desmons France 15 481 1.8× 21 0.2× 16 0.2× 11 0.2× 14 0.2× 16 813
John Trunk United States 14 336 1.3× 19 0.1× 8 0.1× 17 0.3× 86 1.5× 24 557
Zahra Assur United States 8 422 1.6× 104 0.8× 24 0.3× 19 0.3× 2 0.0× 9 510
Jessica L. Symons United States 7 327 1.2× 20 0.2× 7 0.1× 80 1.2× 104 1.8× 14 526
Chiara Lee United Kingdom 6 495 1.9× 32 0.2× 153 2.0× 3 0.0× 6 0.1× 8 603
Marcus J. Horn United States 7 368 1.4× 40 0.3× 29 0.4× 4 0.1× 13 0.2× 7 537
Eleonora Margheritis Italy 12 223 0.8× 55 0.4× 11 0.1× 8 0.1× 7 0.1× 23 404

Countries citing papers authored by Chandra P. Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Chandra P. Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chandra P. Joshi. 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 Chandra P. Joshi. The network helps show where Chandra P. Joshi may publish in the future.

Co-authorship network of co-authors of Chandra P. Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Chandra P. Joshi. A scholar is included among the top collaborators of Chandra P. Joshi 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 Chandra P. Joshi. Chandra P. Joshi 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.
Sengupta, Kushal, et al.. (2024). A ‘through-DNA’ mechanism for co-regulation of metal uptake and efflux. Nature Communications. 15(1). 10555–10555. 3 indexed citations
2.
Joshi, Chandra P., et al.. (2024). Harnessing network pharmacology in drug discovery: an integrated approach. Naunyn-Schmiedeberg s Archives of Pharmacology. 398(5). 4689–4703. 13 indexed citations
3.
Brastianos, Harry C., Tim Olding, Tamás Ungi, et al.. (2020). Electromagnetic (EM) catheter path tracking in ultrasound-guided brachytherapy of the breast. International Journal of Computer Assisted Radiology and Surgery. 15(10). 1645–1652. 4 indexed citations
4.
Brastianos, Harry C., et al.. (2020). Pilot Study of Use of Electromagnetic Tracking Technology to Reconstruct Catheter Paths in Breast Brachytherapy. International Journal of Radiation Oncology*Biology*Physics. 108(3). S186–S186. 1 indexed citations
5.
Joshi, Chandra P., et al.. (2019). High dose rate brachytherapy three-dimensional gel dosimetry using optical computed tomography readout. Journal of Physics Conference Series. 1305(1). 12051–12051. 3 indexed citations
6.
Sadjadi, H. Mohseni, et al.. (2017). Improved electromagnetic tracking for catheter path reconstruction with application in high-dose-rate brachytherapy. International Journal of Computer Assisted Radiology and Surgery. 12(4). 681–689. 15 indexed citations
7.
Chen, Yaodong, Katie J. Porter, Masaki Osawa, et al.. (2017). The Chloroplast Tubulin Homologs FtsZA and FtsZB from the Red Alga Galdieria sulphuraria Co-assemble into Dynamic Filaments. Journal of Biological Chemistry. 292(13). 5207–5215. 14 indexed citations
8.
Joshi, Chandra P., Ahmed Gaballa, Ace George Santiago, et al.. (2015). Metalloregulator CueR biases RNA polymerase’s kinetic sampling of dead-end or open complex to repress or activate transcription. Proceedings of the National Academy of Sciences. 112(44). 13467–13472. 32 indexed citations
9.
Lassó, András, Ian Cumming, Adam Rankin, et al.. (2015). 3D-printed surface mould applicator for high-dose-rate brachytherapy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9415. 94152E–94152E. 7 indexed citations
10.
Darko, Johnson, et al.. (2013). Cobalt-60 tomotherapy: Clinical treatment planning and phantom dose delivery studies. Medical Physics. 40(8). 81710–81710. 8 indexed citations
11.
Joshi, Chandra P., Debashis Panda, Nesha May Andoy, et al.. (2012). Direct substitution and assisted dissociation pathways for turning off transcription by a MerR-family metalloregulator. Proceedings of the National Academy of Sciences. 109(38). 15121–15126. 65 indexed citations
12.
Joshi, Chandra P., et al.. (2009). Transportation Modeling for the 2010 Winter Olympic Games. 1 indexed citations
13.
14.
Schreiner, L J, et al.. (2009). The role of Cobalt-60 in modern radiation therapy: Dose delivery and image guidance. Journal of Medical Physics. 34(3). 133–133. 32 indexed citations
15.
Joshi, Chandra P., et al.. (2008). Investigation of an efficient source design for Cobalt-60-based tomotherapy using EGSnrc Monte Carlo simulations. Physics in Medicine and Biology. 53(3). 575–592. 18 indexed citations
16.
17.
Joshi, Chandra P., et al.. (2007). TH‐C‐AUD‐08: Comparison of Tomotherapy Dose Distributions for 6MV X‐Rays and Different Cobalt‐60 Source Designs Using Monte Carlo Methods. Medical Physics. 34(6Part23). 2628–2628. 1 indexed citations
18.
Borucki, Berthold, Chandra P. Joshi, Harald Otto, Michael A. Cusanovich, & Maarten P. Heyn. (2006). The Transient Accumulation of the Signaling State of Photoactive Yellow Protein Is Controlled by the External pH. Biophysical Journal. 91(8). 2991–3001. 19 indexed citations
19.
Joshi, Chandra P., et al.. (2006). Indigenous Agricultural Knowledge in Kumaon hills of Uttaranchal. 3 indexed citations
20.
Joshi, Chandra P., et al.. (2006). Evaluation of an automated seed loader for seed calibration in prostate brachytherapy. Journal of Applied Clinical Medical Physics. 7(1). 115–125. 2 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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