Nishant Gupta

5.4k total citations
96 papers, 1.4k citations indexed

About

Nishant Gupta is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Nishant Gupta has authored 96 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Physiology, 45 papers in Pulmonary and Respiratory Medicine and 20 papers in Surgery. Recurrent topics in Nishant Gupta's work include Tuberous Sclerosis Complex Research (39 papers), Medical Imaging and Pathology Studies (21 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (20 papers). Nishant Gupta is often cited by papers focused on Tuberous Sclerosis Complex Research (39 papers), Medical Imaging and Pathology Studies (21 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (20 papers). Nishant Gupta collaborates with scholars based in United States, United Kingdom and India. Nishant Gupta's co-authors include Francis X. McCormack, Kathryn A. Wikenheiser‐Brokamp, Robert Vassallo, Elizabeth P. Henske, Kuniaki Seyama, Simon R. Johnson, Cormac McCarthy, Jane Yu, Rajeev Gupta and Elizabeth J. Kopras and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Nishant Gupta

81 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nishant Gupta United States 19 781 760 262 178 150 96 1.4k
Martina Bonifazi Italy 23 1.2k 1.6× 354 0.5× 201 0.8× 83 0.5× 99 0.7× 75 1.8k
May Mo United States 9 508 0.7× 842 1.1× 191 0.7× 107 0.6× 43 0.3× 21 1.3k
Thomas A. McCulloch United Kingdom 18 344 0.4× 91 0.1× 169 0.6× 202 1.1× 256 1.7× 51 1.0k
Barbara Seitz‐Polski France 22 627 0.8× 143 0.2× 76 0.3× 146 0.8× 290 1.9× 62 2.2k
Adam Lam United States 15 901 1.2× 92 0.1× 367 1.4× 124 0.7× 248 1.7× 35 1.4k
Isabel Badell Spain 24 155 0.2× 166 0.2× 131 0.5× 67 0.4× 234 1.6× 108 1.6k
Paneez Khoury United States 19 869 1.1× 485 0.6× 707 2.7× 1.1k 6.4× 59 0.4× 79 1.8k
Carmel Stock United Kingdom 15 807 1.0× 142 0.2× 152 0.6× 82 0.5× 284 1.9× 34 1.5k
Martina Maggi Italy 23 755 1.0× 99 0.1× 257 1.0× 221 1.2× 388 2.6× 96 1.5k
Jae Seung Lee South Korea 18 430 0.6× 88 0.1× 375 1.4× 117 0.7× 144 1.0× 128 1.5k

Countries citing papers authored by Nishant Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Nishant Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nishant Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Nishant Gupta. A scholar is included among the top collaborators of Nishant Gupta 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 Nishant Gupta. Nishant Gupta 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.
Krishna, R. Vijay, Simon R. Johnson, Ali Ataya, et al.. (2025). Sirolimus Use During Pregnancy in Women with Lymphangioleiomyomatosis. Annals of the American Thoracic Society. 22(11). 1794–1797.
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Ho, Lawrence, Nishant Gupta, Joel Moss, et al.. (2024). Unsupervised Exercise in Interstitial Lung Disease. CHEST Journal. 166(5). 1108–1123. 2 indexed citations
5.
Franciosi, Alessandro N., Nishant Gupta, David J. Murphy, Kathryn A. Wikenheiser‐Brokamp, & Cormac McCarthy. (2024). Diffuse Cystic Lung Disease. CHEST Journal. 167(2). 529–547. 3 indexed citations
6.
Ritter, David M., et al.. (2024). Healthcare provider recognition of pregnancy related risks and management considerations in patients with tuberous sclerosis complex. Orphanet Journal of Rare Diseases. 19(1). 4–4. 3 indexed citations
7.
Wagner, Andrew, Aristotelis Astrinidis, Minzhe Guo, et al.. (2023). Single-cell multiomic analysis identifies a HOX-PBX gene network regulating the survival of lymphangioleiomyomatosis cells. Science Advances. 9(19). eadf8549–eadf8549. 6 indexed citations
8.
Gupta, Nishant, Bin Zhang, Yuan Zhou, et al.. (2023). Safety and Efficacy of Combined Resveratrol and Sirolimus in Lymphangioleiomyomatosis. CHEST Journal. 163(5). 1144–1155. 16 indexed citations
9.
Du, Yina, Minzhe Guo, Yixin Wu, et al.. (2022). Lymphangioleiomyomatosis (LAM) Cell Atlas. Thorax. 78(1). 85–87. 10 indexed citations
10.
Jonas, Andrea, Michael Muelly, Nishant Gupta, & Joshua Reicher. (2022). Machine learning to distinguish lymphangioleiomyomatosis from other diffuse cystic lung diseases. Respiratory Investigation. 60(3). 430–433. 4 indexed citations
11.
Bugnet, Emmanuelle, Nishant Gupta, Gwenaël Lorillon, et al.. (2021). Psychological features of adult patients with langerhans cell histiocytosis. PLoS ONE. 16(2). e0246604–e0246604. 2 indexed citations
12.
Liu, Huan, Andrew R. Osterburg, Dennis W. McGraw, et al.. (2020). MAPK mutations and cigarette smoke promote the pathogenesis of pulmonary Langerhans cell histiocytosis. JCI Insight. 5(4). 17 indexed citations
13.
Tian, Xinlun, Jennifer Glass, David J. Kwiatkowski, et al.. (2020). Lymphangioleiomyomatosis Association with Underlying Genotype in Patients with Tuberous Sclerosis Complex. Annals of the American Thoracic Society. 18(5). 815–819. 5 indexed citations
14.
Walkup, Laura L., David J. Roach, Chase Hall, et al.. (2019). Cyst Ventilation Heterogeneity and Alveolar Airspace Dilation as Early Disease Markers in Lymphangioleiomyomatosis. Annals of the American Thoracic Society. 16(8). 1008–1016. 27 indexed citations
15.
Liu, Huan, Claudia Jakubzick, Andrew R. Osterburg, et al.. (2017). Dendritic Cell Trafficking and Function in Rare Lung Diseases. American Journal of Respiratory Cell and Molecular Biology. 57(4). 393–402. 27 indexed citations
16.
Gupta, Nishant, et al.. (2016). Chest Computed Tomographic Image Screening for Cystic Lung Diseases in Patients with Spontaneous Pneumothorax Is Cost Effective. Annals of the American Thoracic Society. 14(1). 17–25. 35 indexed citations
17.
Gupta, Nishant, Robert Vassallo, Kathryn A. Wikenheiser‐Brokamp, & Francis X. McCormack. (2015). Diffuse Cystic Lung Disease. Part I. American Journal of Respiratory and Critical Care Medicine. 191(12). 1354–1366. 129 indexed citations
18.
Gupta, Nishant, Robert Vassallo, Kathryn A. Wikenheiser‐Brokamp, & Francis X. McCormack. (2015). Diffuse Cystic Lung Disease. Part II. American Journal of Respiratory and Critical Care Medicine. 192(1). 17–29. 84 indexed citations
19.
Gupta, Nishant, et al.. (2013). Pemphigus Vegetans masquerading as Cutis Verticis Gyrata. 3(4). 131–135.
20.
Gupta, Nishant. (2001). Resource Management in Ad Hoc Networks. OhioLink ETD Center (Ohio Library and Information Network).

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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