Sunjay Shah

3.0k total citations · 1 hit paper
29 papers, 1.5k citations indexed

About

Sunjay Shah is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Oncology. According to data from OpenAlex, Sunjay Shah has authored 29 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Pulmonary and Respiratory Medicine, 13 papers in Genetics and 5 papers in Oncology. Recurrent topics in Sunjay Shah's work include Brain Metastases and Treatment (15 papers), Glioma Diagnosis and Treatment (13 papers) and Cancer-related cognitive impairment studies (9 papers). Sunjay Shah is often cited by papers focused on Brain Metastases and Treatment (15 papers), Glioma Diagnosis and Treatment (13 papers) and Cancer-related cognitive impairment studies (9 papers). Sunjay Shah collaborates with scholars based in United States and Canada. Sunjay Shah's co-authors include Minesh P. Mehta, Vijayananda Kundapur, Wolfgang A. Tomé, André Konski, Lisa A. Kachnic, Vinai Gondi, Howard A. Rowley, Glenn Bauman, Merideth M Wendland and Stephanie L. Pugh and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Biological Psychiatry.

In The Last Decade

Sunjay Shah

28 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Preservation of Memory With Conformal Avoidance of the Hippocampal Neural Stem-Cell Compartment During Whole-Brain Radiotherapy for Brain Metastases (RTOG 0933): A Phase II Multi-Institutional Trial

2014 768 citations Vinai Gondi, Stephanie L. Pugh et al. Journal of Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sunjay Shah United States	13	1.0k	712	560	209	152	29	1.5k
Dana Greene-Schloesser United States	9	655 0.6×	569 0.8×	141 0.3×	103 0.5×	248 1.6×	12	1.2k
Antônio De Salles United States	19	212 0.2×	184 0.3×	90 0.2×	326 1.6×	136 0.9×	53	1.2k
Anouk van der Hoorn Netherlands	22	195 0.2×	577 0.8×	97 0.2×	97 0.5×	623 4.1×	77	1.4k
Ingeborg Bosma Netherlands	15	323 0.3×	405 0.6×	118 0.2×	102 0.5×	275 1.8×	29	1.2k
Antoine Verger France	25	211 0.2×	582 0.8×	63 0.1×	137 0.7×	1.1k 7.3×	134	1.8k
P. Bartenstein Germany	16	133 0.1×	185 0.3×	51 0.1×	142 0.7×	411 2.7×	34	1.1k
Kyle R. Noll United States	15	732 0.7×	650 0.9×	135 0.2×	133 0.6×	174 1.1×	39	1.1k
M. Schreckenberger Germany	14	112 0.1×	115 0.2×	45 0.1×	115 0.6×	305 2.0×	38	869
Stefan Kneifel Switzerland	16	167 0.2×	63 0.1×	159 0.3×	149 0.7×	909 6.0×	26	1.6k
Maxine Dibué Germany	17	231 0.2×	273 0.4×	56 0.1×	165 0.8×	36 0.2×	66	928

Countries citing papers authored by Sunjay Shah

Since Specialization

Citations

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

Fields of papers citing papers by Sunjay Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunjay Shah

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

All Works

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20 of 20 papers shown

Satti, Sudhakar R, et al.. (2024). Efficacy of Dose-Escalated Hypofractionated Radiosurgery for Arteriovenous Malformations. Cureus. 16(1). e52514–e52514. 1 indexed citations

Sarkar, Abhirup, et al.. (2023). Feasibility evaluation of novel AI‐based deep‐learning contouring algorithm for radiotherapy. Journal of Applied Clinical Medical Physics. 24(11). e14090–e14090. 10 indexed citations

Shah, Sunjay, et al.. (2023). Concurrent Radiation and Targeted Therapy for Papillary Craniopharyngioma: A Case Report. Cureus. 15(6). e40190–e40190. 6 indexed citations

Shah, Sunjay, et al.. (2023). Salvage Radiosurgery for Recurrent Cardiac Sarcoma: A Case Report. Cureus. 15(9). e44990–e44990.

Gondi, Vinai, Snehal Deshmukh, Paul D. Brown, et al.. (2023). Sustained Preservation of Cognition and Prevention of Patient-Reported Symptoms With Hippocampal Avoidance During Whole-Brain Radiation Therapy for Brain Metastases: Final Results of NRG Oncology CC001. International Journal of Radiation Oncology*Biology*Physics. 117(3). 571–580. 26 indexed citations

Mahadevan, Anand, Bahman Emami, Jimm Grimm, et al.. (2021). Potential Clinical Significance of Overall Targeting Accuracy and Motion Management in the Treatment of Tumors That Move With Respiration: Lessons Learnt From a Quarter Century of Stereotactic Body Radiotherapy From Dose Response Models. Frontiers in Oncology. 10. 591430–591430. 4 indexed citations

Gondi, Vinai, S. Pugh, Paul D. Brown, et al.. (2019). Significant Preservation of Neurocognitive Function (NCF) and Patient-Reported Symptoms with Hippocampal Avoidance (HA) during Whole-Brain Radiotherapy (WBRT) for Brain Metastases: Final Results of Nrg Oncology CC001. International Journal of Radiation Oncology*Biology*Physics. 105(1). S12–S13. 3 indexed citations

Gondi, Vinai, Snehal Deshmukh, Paul D. Brown, et al.. (2019). NRG Oncology CC001: A phase III trial of hippocampal avoidance (HA) in addition to whole-brain radiotherapy (WBRT) plus memantine to preserve neurocognitive function (NCF) in patients with brain metastases (BM).. Journal of Clinical Oncology. 37(15_suppl). 2009–2009. 28 indexed citations

Wefel, Jeffrey S., Stephanie L. Pugh, Vinai Gondi, et al.. (2019). NRG Oncology CC001 Neurocognitive Final Analysis: A Phase III Trial of Hippocampal Avoidance (HA) in Addition to Whole-Brain Radiotherapy (WBRT) Plus Memantine to Preserve Neurocognitive Function (NCF) in Patients With Brain Metastases (BM). Neurosurgery. 66(Supplement 1). 310–642. 1 indexed citations

10.

Sims‐Mourtada, Jennifer, et al.. (2018). Dosimetric Characterization of an Abscopal Response in a Patient With Oligometastatic Melanoma Undergoing Concurrent Treatment With Pembrolizumab and Stereotactic Body Radiotherapy (SBRT). 4(1). 1–4. 4 indexed citations

11.

Shah, Sunjay, et al.. (2017). Update on Radiotherapy for Central Nervous System Malignancies. Surgical Oncology Clinics of North America. 26(3). 347–355. 3 indexed citations

12.

Brown, Paul D., S. Keith Anderson, Xiomara W. Carrero, et al.. (2015). Adult patients with supratentorial pilocytic astrocytoma: long-term follow-up of prospective multicenter clinical trial NCCTG-867251 (Alliance). Neuro-Oncology Practice. 2(4). 199–204. 26 indexed citations

13.

Shaw, Edward G., Lingyi Lu, David Bryant, et al.. (2015). Phase II double-blind placebo-controlled randomized study of armodafinil for brain radiation-induced fatigue. Neuro-Oncology. 17(10). 1393–1401. 50 indexed citations

14.

Gondi, Vinai, Stephanie L. Pugh, Wolfgang A. Tomé, et al.. (2014). Preservation of Memory With Conformal Avoidance of the Hippocampal Neural Stem-Cell Compartment During Whole-Brain Radiotherapy for Brain Metastases (RTOG 0933): A Phase II Multi-Institutional Trial. Journal of Clinical Oncology. 32(34). 3810–3816. 768 indexed citations breakdown →

15.

Sperduto, Paul W., Meihua Wang, H. Ian Robins, et al.. (2013). A Phase 3 Trial of Whole Brain Radiation Therapy and Stereotactic Radiosurgery Alone Versus WBRT and SRS With Temozolomide or Erlotinib for Non-Small Cell Lung Cancer and 1 to 3 Brain Metastases: Radiation Therapy Oncology Group 0320. International Journal of Radiation Oncology*Biology*Physics. 85(5). 1312–1318. 204 indexed citations

16.

Shah, Sunjay, et al.. (1995). Pituitary apoplexy in adolescence: case report.. PubMed. 25 Suppl 1. S26–7. 2 indexed citations

17.

Escalona, P. Rodrigo, William M. McDonald, P. Murali Doraiswamy, et al.. (1993). Reduction of cerebellar volume in major depression: A controlled MRI study. 1(3). 156–158. 39 indexed citations

18.

Husain, Mustafa M., Kevin J. Black, P. Murali Doraiswamy, et al.. (1992). Subcortical brain anatomy in anorexia and bulimia. Biological Psychiatry. 31(7). 735–738. 56 indexed citations

19.

Shah, Sunjay, P. Murali Doraiswamy, Mustafa M. Husain, et al.. (1992). Posterior fossa abnormalities in major depression: a controlled magnetic resonance imaging study. Acta Psychiatrica Scandinavica. 85(6). 474–479. 72 indexed citations

20.

Doraiswamy, P. Murali, K. Ranga Krishnan, Gary S. Figiel, et al.. (1991). Pituitary abnormalities in eating disorders: Further evidence from MRI studies. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 15(3). 351–356. 23 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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