Poonam Yadav

1.3k total citations
80 papers, 856 citations indexed

About

Poonam Yadav is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Poonam Yadav has authored 80 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Radiation, 43 papers in Pulmonary and Respiratory Medicine and 43 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Poonam Yadav's work include Advanced Radiotherapy Techniques (51 papers), Radiation Therapy and Dosimetry (26 papers) and Medical Imaging Techniques and Applications (22 papers). Poonam Yadav is often cited by papers focused on Advanced Radiotherapy Techniques (51 papers), Radiation Therapy and Dosimetry (26 papers) and Medical Imaging Techniques and Applications (22 papers). Poonam Yadav collaborates with scholars based in United States, India and Italy. Poonam Yadav's co-authors include M. Bassetti, Bhudatt R. Paliwal, Alan B. McMillan, John E. Bayouth, Jacob S. Witt, Indra J. Das, Yi Rong, Kathryn E. Mittauer, Nikhil Ram-Mohan and Vincenzo Valentini and has published in prestigious journals such as Radiology, International Journal of Radiation Oncology*Biology*Physics and Frontiers in Microbiology.

In The Last Decade

Poonam Yadav

76 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Poonam Yadav United States 15 533 481 376 151 132 80 856
É. Chajon France 16 482 0.9× 433 0.9× 441 1.2× 153 1.0× 139 1.1× 56 947
I. Dell’Oca Italy 18 447 0.8× 492 1.0× 480 1.3× 81 0.5× 96 0.7× 52 910
Domenico Cante Italy 17 312 0.6× 550 1.1× 467 1.2× 135 0.9× 78 0.6× 49 946
Massimo Pasquino Italy 16 467 0.9× 630 1.3× 461 1.2× 82 0.5× 168 1.3× 46 905
Maria Rosa La Porta Italy 16 305 0.6× 532 1.1× 423 1.1× 122 0.8× 69 0.5× 38 869
Carlo Cavedon Italy 19 736 1.4× 741 1.5× 599 1.6× 88 0.6× 231 1.8× 63 1.3k
Valeria Casanova Borca Italy 18 541 1.0× 969 2.0× 773 2.1× 147 1.0× 131 1.0× 52 1.3k
Youngyih Han South Korea 17 361 0.7× 516 1.1× 364 1.0× 43 0.3× 125 0.9× 98 832
Giuseppe Girelli Italy 19 425 0.8× 757 1.6× 676 1.8× 145 1.0× 85 0.6× 38 1.1k
A. Bertelsen Denmark 18 690 1.3× 846 1.8× 631 1.7× 52 0.3× 158 1.2× 55 1.1k

Countries citing papers authored by Poonam Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Poonam Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poonam Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Poonam Yadav. A scholar is included among the top collaborators of Poonam Yadav 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 Poonam Yadav. Poonam Yadav 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.
2.
Liu, Y. C., Tarita O. Thomas, Divya Gupta, et al.. (2025). Stage IIIA Non‐Small Cell Lung Cancer Treatment and Outcomes: A Single Institution Retrospective Analysis. Thoracic Cancer. 16(3). e70009–e70009. 1 indexed citations
3.
Yadav, Poonam, et al.. (2025). Disparities in Refusal of Adjuvant Radiation for Breast-Conserving Therapy in the USA. Annals of Surgical Oncology. 32(6). 4034–4040.
4.
Boldrini, Luca, Giuditta Chiloiro, Davide Cusumano, et al.. (2024). Radiomics-enhanced early regression index for predicting treatment response in rectal cancer: a multi-institutional 0.35 T MRI-guided radiotherapy study. La radiologia medica. 129(4). 615–622. 2 indexed citations
5.
DeWerd, Larry A., et al.. (2024). Beam quality correction factors for ionization chambers in a 0.35 T magnetic resonance (MR)-linac – A Monte Carlo study. Physica Medica. 119. 103314–103314. 2 indexed citations
6.
Yadav, Poonam, et al.. (2023). A multicenter study of modified electron beam output calibration. Journal of Applied Clinical Medical Physics. 25(1). e14232–e14232. 3 indexed citations
7.
Das, Indra J., et al.. (2023). An integrated and fast imaging quality assurance phantom for a 0.35 T magnetic resonance imaging linear accelerator. Physics and Imaging in Radiation Oncology. 27. 100462–100462. 1 indexed citations
8.
DeWerd, Larry A., et al.. (2022). A multi-institutional comparison of dosimetric data for a 0.35 T MR-linac. Physics in Medicine and Biology. 67(5). 05NT01–05NT01. 9 indexed citations
9.
DeWerd, Larry A., et al.. (2022). A multi-institutional comparison of acceptance testing data for a 0.35 T MRI scanner. Physics in Medicine and Biology. 67(23). 235005–235005. 3 indexed citations
10.
Ram-Mohan, Nikhil, et al.. (2022). History of Technological Advancements towards MR-Linac: The Future of Image-Guided Radiotherapy. Journal of Clinical Medicine. 11(16). 4730–4730. 21 indexed citations
11.
Simiele, Eric, et al.. (2021). Development and evaluation of a GEANT4‐based Monte Carlo Model of a 0.35 T MR‐guided radiation therapy (MRgRT) linear accelerator. Medical Physics. 48(4). 1967–1982. 14 indexed citations
12.
Cusumano, Davide, Luca Boldrini, Jennifer Dhont, et al.. (2021). Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives. Physica Medica. 85. 175–191. 64 indexed citations
13.
Rydzewski, Nicholas R., et al.. (2021). Radiomic Modeling of Bone Density and Rib Fracture Risk After Stereotactic Body Radiation Therapy for Early-Stage Non-Small Cell Lung Cancer. Advances in Radiation Oncology. 7(3). 100884–100884. 5 indexed citations
14.
15.
16.
Kajal, Pradeep, Kamal Nain Rattan, Namita Bhutani, & Poonam Yadav. (2016). Congenital pyloric atresia: Early and delayed presentations—A single centre experience of a rare anomaly. Indian Journal of Gastroenterology. 35(3). 232–235. 5 indexed citations
17.
Yadav, Poonam, et al.. (2011). Validation of Radiation Dose from a four slice CT scanner using Monte Carlo. Archives of applied science research. 3(1). 472–483. 1 indexed citations
18.
Yadav, Poonam, et al.. (2011). Evolution of Computational Techniques Implementing Monte Carlo in Radiotherapy. Archives of applied science research. 3(3). 436–442. 1 indexed citations
19.
Yadav, Poonam, et al.. (2011). Feasibility study on effect and stability of adaptive radiotherapy on kilovoltage cone beam CT. Radiology and Oncology. 45(3). 220–6. 14 indexed citations
20.
Yadav, Poonam, Ranjini Tolakanahalli, Yi Rong, & Bhudatt R. Paliwal. (2010). The effect and stability of MVCT images on adaptive TomoTherapy. Journal of Applied Clinical Medical Physics. 11(4). 4–14. 31 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by É. Chajon Breakdown of academic impact, for papers by I. Dell’Oca Breakdown of academic impact, for papers by Domenico Cante Breakdown of academic impact, for papers by Massimo Pasquino Breakdown of academic impact, for papers by Maria Rosa La Porta Breakdown of academic impact, for papers by Carlo Cavedon Breakdown of academic impact, for papers by Valeria Casanova Borca Breakdown of academic impact, for papers by Youngyih Han Breakdown of academic impact, for papers by Giuseppe Girelli Breakdown of academic impact, for papers by A. Bertelsen
Rankless by CCL
2026