Sagar Rakshit

1.7k total citations · 1 hit paper
26 papers, 1.2k citations indexed

About

Sagar Rakshit is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Sagar Rakshit has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 13 papers in Pulmonary and Respiratory Medicine and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Sagar Rakshit's work include Cancer Immunotherapy and Biomarkers (11 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Sagar Rakshit is often cited by papers focused on Cancer Immunotherapy and Biomarkers (11 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Sagar Rakshit collaborates with scholars based in United States, Peru and Italy. Sagar Rakshit's co-authors include Vamsidhar Velcheti, Monica Khunger, James Stevenson, Nathan A. Pennell, Adrían V. Hernández, Vinay Pasupuleti, Peter J. Mazzone, Radhika Bansal, Niha Beig and Mahdi Orooji and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Blood.

In The Last Decade

Sagar Rakshit

23 papers receiving 1.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Incidence of Pneumonitis With Use of Programmed Death 1 and Programmed Death-Ligand 1 Inhibitors in Non-Small Cell Lung Cancer

2017 349 citations Monica Khunger, Sagar Rakshit et al. CHEST Journal profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sagar Rakshit United States	15	686	579	364	118	102	26	1.2k
Patricia S. Fox United States	27	525 0.8×	587 1.0×	452 1.2×	69 0.6×	116 1.1×	62	1.9k
Guillermo Villacampa Spain	14	587 0.9×	327 0.6×	167 0.5×	115 1.0×	66 0.6×	90	1.1k
Julian Malicki Poland	16	263 0.4×	449 0.8×	580 1.6×	73 0.6×	107 1.0×	142	1.3k
Cédric Rossi France	21	355 0.5×	262 0.5×	305 0.8×	166 1.4×	39 0.4×	77	1.3k
Olivier Humbert France	22	464 0.7×	410 0.7×	964 2.6×	54 0.5×	64 0.6×	56	1.5k
Zhendong Chen China	17	521 0.8×	357 0.6×	194 0.5×	79 0.7×	49 0.5×	54	1.0k
Hesham Elhalawani United States	21	532 0.8×	433 0.7×	627 1.7×	75 0.6×	180 1.8×	93	1.5k
Neil Desai United States	22	487 0.7×	940 1.6×	228 0.6×	42 0.4×	54 0.5×	104	1.4k
Mi Sun Ahn South Korea	13	466 0.7×	524 0.9×	144 0.4×	52 0.4×	44 0.4×	48	840
Matthias Haas Germany	20	282 0.4×	490 0.8×	348 1.0×	183 1.6×	171 1.7×	44	1.1k

Countries citing papers authored by Sagar Rakshit

Since Specialization

Citations

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

Fields of papers citing papers by Sagar Rakshit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sagar Rakshit

This figure shows the co-authorship network connecting the top 25 collaborators of Sagar Rakshit. A scholar is included among the top collaborators of Sagar Rakshit 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 Sagar Rakshit. Sagar Rakshit 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

Desai, Aakash, Sagar Rakshit, Radhika Bansal, et al.. (2023). Time from immune checkpoint inhibitor to sotorasib use correlates with risk of hepatotoxicity in non-small cell lung cancer: A brief report. Cancer Treatment and Research Communications. 36. 100743–100743. 15 indexed citations

Dolezal, James M., Andrew Srisuwananukorn, Dmitry Karpeyev, et al.. (2022). Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology. Nature Communications. 13(1). 6572–6572. 75 indexed citations

Dolezal, James M., Sara Kochanny, Sagar Rakshit, et al.. (2022). The use of artificial intelligence with uncertainty estimation to predict lung cancer relapse from histopathology.. Journal of Clinical Oncology. 40(16_suppl). 8549–8549.

Roden, Anja C., Sagar Rakshit, Geoffrey B. Johnson, Sarah M. Jenkins, & Aaron S. Mansfield. (2022). Correlation of Somatostatin Receptor 2 Expression, 68Ga-DOTATATE PET Scan and Octreotide Treatment in Thymic Epithelial Tumors. Frontiers in Oncology. 12. 12 indexed citations

Bansal, Radhika, Sagar Rakshit, & Shaji Kumar. (2021). Extramedullary disease in multiple myeloma. Blood Cancer Journal. 11(9). 161–161. 57 indexed citations

Rakshit, Sagar, Radhika Bansal, Prashant Kapoor, et al.. (2021). Factors Associated with Renal Impairment at Diagnosis in Multiple Myeloma with Survival Trends over Last Two Decades. Blood. 138(Supplement 1). 1630–1630.

Bansal, Radhika, Sagar Rakshit, Weiguo Han, & Shaji Kumar. (2021). Modulation of Apoptosis Pathways in the Biology and Treatment of Multiple Myeloma. 17(1). 48–48.

Tella, Sri Harsha, Siddhartha Yadav, Christopher L. Hallemeier, et al.. (2020). Neutrophil to lymphocyte ratio as a prognostic marker in metastatic gallbladder cancer. HPB. 22(10). 1490–1495. 20 indexed citations

Rakshit, Sagar & Julian R. Molina. (2020). Immunotherapy in patients with autoimmune disease. Journal of Thoracic Disease. 12(11). 7032–7038. 21 indexed citations

10.

Beig, Niha, Mohammadhadi Khorrami, Mehdi Alilou, et al.. (2018). Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas. Radiology. 290(3). 783–792. 238 indexed citations

11.

Khunger, Monica, Prantesh Jain, Sagar Rakshit, et al.. (2018). Safety and Efficacy of PD-1/PD-L1 Inhibitors in Treatment-Naive and Chemotherapy-Refractory Patients With Non–Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis. Clinical Lung Cancer. 19(3). e335–e348. 45 indexed citations

12.

Khunger, Monica, Pradnya D. Patil, Arjun Khunger, et al.. (2018). Post-treatment changes in hematological parameters predict response to nivolumab monotherapy in non-small cell lung cancer patients. PLoS ONE. 13(10). e0197743–e0197743. 61 indexed citations

13.

Khunger, Monica, Sagar Rakshit, Adrían V. Hernández, et al.. (2018). Premature Clinical Trial Discontinuation in the Era of Immune Checkpoint Inhibitors. The Oncologist. 23(12). 1494–1499. 20 indexed citations

14.

Khunger, Monica, Sagar Rakshit, Vinay Pasupuleti, et al.. (2017). Incidence of Pneumonitis With Use of Programmed Death 1 and Programmed Death-Ligand 1 Inhibitors in Non-Small Cell Lung Cancer. CHEST Journal. 152(2). 271–281. 349 indexed citations breakdown →

15.

Khunger, Monica, Sagar Rakshit, Katherine Tullio, Matt D. Galsky, & Petros Grivas. (2017). Premature clinical trial discontinuation in all and genitourinary (GU) cancers in the era of immune checkpoint inhibitors (ICI).. Journal of Clinical Oncology. 35(6_suppl). 394–394. 1 indexed citations

16.

Khunger, Monica, Adrían V. Hernández, Vinay Pasupuleti, et al.. (2017). Programmed Cell Death 1 (PD-1) Ligand (PD-L1) Expression in Solid Tumors As a Predictive Biomarker of Benefit From PD-1/PD-L1 Axis Inhibitors: A Systematic Review and Meta-Analysis. JCO Precision Oncology. 1(1). 1–15. 106 indexed citations

17.

Orooji, Mahdi, Sagar Rakshit, Niha Beig, Anant Madabhushi, & Vamsidhar Velcheti. (2016). Computerized textural analysis of lung CT to enable quantification of tumor infiltrating lymphocytes in NSCLC.. Journal of Clinical Oncology. 34(15_suppl). 11584–11584. 4 indexed citations

18.

Rakshit, Sagar, et al.. (2016). Durable Response to Combination of Dabrafenib and Trametinib in BRAF V600E-Mutated Non–small-cell Lung Cancer. Clinical Lung Cancer. 18(3). e211–e213. 6 indexed citations

19.

Rakshit, Sagar, Mahdi Orooji, Niha Beig, et al.. (2016). Evaluation of radiomic features on baseline CT scan to predict clinical benefit for pemetrexed based chemotherapy in metastatic lung adenocarcinoma.. Journal of Clinical Oncology. 34(15_suppl). 11582–11582. 4 indexed citations

20.

Felice, Kara M. De, Arjun Gupta, Sagar Rakshit, et al.. (2015). Ipilimumab-induced colitis in patients with metastatic melanoma. Melanoma Research. 25(4). 321–327. 37 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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