Manish Bodas

2.7k total citations
39 papers, 2.1k citations indexed

About

Manish Bodas is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Manish Bodas has authored 39 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 20 papers in Molecular Biology and 13 papers in Epidemiology. Recurrent topics in Manish Bodas's work include Neonatal Respiratory Health Research (13 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers) and Autophagy in Disease and Therapy (10 papers). Manish Bodas is often cited by papers focused on Neonatal Respiratory Health Research (13 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers) and Autophagy in Disease and Therapy (10 papers). Manish Bodas collaborates with scholars based in United States, India and Germany. Manish Bodas's co-authors include Neeraj Vij, Taehong Min, Steven Mazur, Anju Singh, Shyam Biswal, Prashanth Chandramani-Shivalingappa, David Silverberg, G. Steven Bova, David Esopi and Hailong Wu and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Free Radical Biology and Medicine.

In The Last Decade

Manish Bodas

39 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manish Bodas United States 24 1.1k 719 456 236 201 39 2.1k
Beata Kośmider United States 28 1.0k 0.9× 654 0.9× 236 0.5× 174 0.7× 334 1.7× 64 2.2k
Vikas Anathy United States 29 1.1k 1.0× 377 0.5× 242 0.5× 441 1.9× 455 2.3× 66 2.1k
An Chen China 21 577 0.5× 274 0.4× 235 0.5× 133 0.6× 243 1.2× 74 1.5k
Long Shuang Huang China 21 1.1k 0.9× 527 0.7× 160 0.4× 146 0.6× 445 2.2× 45 1.7k
Graça Porto Portugal 32 565 0.5× 239 0.3× 236 0.5× 366 1.6× 517 2.6× 103 3.2k
Yosuke Matsuno Japan 21 988 0.9× 338 0.5× 121 0.3× 227 1.0× 308 1.5× 41 1.7k
Leopoldo Aguilera-Aguirre United States 22 907 0.8× 190 0.3× 159 0.3× 348 1.5× 345 1.7× 41 1.7k
Yong‐Hoon Kim South Korea 28 647 0.6× 427 0.6× 236 0.5× 415 1.8× 228 1.1× 111 2.1k
Xiong Chen China 19 853 0.8× 667 0.9× 245 0.5× 103 0.4× 184 0.9× 80 1.9k

Countries citing papers authored by Manish Bodas

Since Specialization
Citations

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

Fields of papers citing papers by Manish Bodas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Bodas

This figure shows the co-authorship network connecting the top 25 collaborators of Manish Bodas. A scholar is included among the top collaborators of Manish Bodas 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 Manish Bodas. Manish Bodas 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.
Bharathiraja, Subramaniyan, Manish Bodas, Andrew R. Moore, et al.. (2023). The Isolation and In Vitro Differentiation of Primary Fetal Baboon Tracheal Epithelial Cells for the Study of SARS-CoV-2 Host-Virus Interactions. Viruses. 15(4). 862–862. 3 indexed citations
2.
Bodas, Manish, Subramaniyan Bharathiraja, Andrew R. Moore, et al.. (2021). The NOTCH3 Downstream Target HEYL Is Required for Efficient Human Airway Basal Cell Differentiation. Cells. 10(11). 3215–3215. 6 indexed citations
3.
Bodas, Manish, Andrew R. Moore, Subramaniyan Bharathiraja, et al.. (2021). Cigarette Smoke Activates NOTCH3 to Promote Goblet Cell Differentiation in Human Airway Epithelial Cells. American Journal of Respiratory Cell and Molecular Biology. 64(4). 426–440. 32 indexed citations
4.
Bharathiraja, Subramaniyan, Jason L. Larabee, Manish Bodas, et al.. (2021). Characterization of the SARS-CoV-2 Host Response in Primary Human Airway Epithelial Cells from Aged Individuals. Viruses. 13(8). 1603–1603. 8 indexed citations
5.
Bodas, Manish & Neeraj Vij. (2019). Adapting Proteostasis and Autophagy for Controlling the Pathogenesis of Cystic Fibrosis Lung Disease. Frontiers in Pharmacology. 10. 20–20. 23 indexed citations
6.
Bodas, Manish, et al.. (2018). Autophagy augmentation alleviates cigarette smoke-induced CFTR-dysfunction, ceramide-accumulation and COPD-emphysema pathogenesis. Free Radical Biology and Medicine. 131. 81–97. 39 indexed citations
7.
Patel, Neel, et al.. (2017). Role of second-hand smoke (SHS)-induced proteostasis/autophagy impairment in pediatric lung diseases. PubMed. 4(1). 3–3. 3 indexed citations
8.
Bodas, Manish, et al.. (2017). Dendrimer-based selective autophagy-induction rescues ΔF508-CFTR and inhibits Pseudomonas aeruginosa infection in cystic fibrosis. PLoS ONE. 12(9). e0184793–e0184793. 17 indexed citations
9.
Bodas, Manish, et al.. (2017). Cigarette smoke induced autophagy-impairment regulates AMD pathogenesis mechanisms in ARPE-19 cells. PLoS ONE. 12(8). e0182420–e0182420. 18 indexed citations
10.
Singh, Suchita, Manish Bodas, Naveen Kumar Bhatraju, et al.. (2016). Hyperinsulinemia adversely affects lung structure and function. American Journal of Physiology-Lung Cellular and Molecular Physiology. 310(9). L837–L845. 79 indexed citations
11.
12.
Vij, Neeraj, et al.. (2016). Neutrophil targeted nano-drug delivery system for chronic obstructive lung diseases. Nanomedicine Nanotechnology Biology and Medicine. 12(8). 2415–2427. 59 indexed citations
13.
Bodas, Manish, et al.. (2016). Nicotine exposure induces bronchial epithelial cell apoptosis and senescence via ROS mediated autophagy-impairment. Free Radical Biology and Medicine. 97. 441–453. 100 indexed citations
14.
15.
Prakash, Mansi, Manish Bodas, Divya Prakash, et al.. (2013). Diverse pathological implications of YKL-40: Answers may lie in ‘outside-in’ signaling. Cellular Signalling. 25(7). 1567–1573. 73 indexed citations
16.
Bodas, Manish, et al.. (2012). Therapeutic Strategies to Correct Proteostasis-Imbalance in Chronic Obstructive Lung Diseases. Current Molecular Medicine. 12(7). 807–814. 28 indexed citations
17.
Min, Taehong, et al.. (2011). Critical Role of VCP/p97 in the Pathogenesis and Progression of Non-Small Cell Lung Carcinoma. PLoS ONE. 6(12). e29073–e29073. 74 indexed citations
18.
Min, Taehong, Manish Bodas, Steven Mazur, & Neeraj Vij. (2011). Critical role of proteostasis-imbalance in pathogenesis of COPD and severe emphysema. Journal of Molecular Medicine. 89(6). 577–593. 123 indexed citations
19.
Zhang, Ping, Anju Singh, Srinivasan Yegnasubramanian, et al.. (2010). Loss of Kelch-Like ECH-Associated Protein 1 Function in Prostate Cancer Cells Causes Chemoresistance and Radioresistance and Promotes Tumor Growth. Molecular Cancer Therapeutics. 9(2). 336–346. 315 indexed citations
20.
Bodas, Manish, Nitya Jain, Amit Awasthi, et al.. (2006). Inhibition of IL-2 Induced IL-10 Production as a Principle of Phase-Specific Immunotherapy. The Journal of Immunology. 177(7). 4636–4643. 39 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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