Anant Mohan

7.0k total citations
325 papers, 4.0k citations indexed

About

Anant Mohan is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Oncology. According to data from OpenAlex, Anant Mohan has authored 325 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Pulmonary and Respiratory Medicine, 78 papers in Infectious Diseases and 57 papers in Oncology. Recurrent topics in Anant Mohan's work include Lung Cancer Diagnosis and Treatment (54 papers), Lung Cancer Treatments and Mutations (48 papers) and Tracheal and airway disorders (44 papers). Anant Mohan is often cited by papers focused on Lung Cancer Diagnosis and Treatment (54 papers), Lung Cancer Treatments and Mutations (48 papers) and Tracheal and airway disorders (44 papers). Anant Mohan collaborates with scholars based in India, United States and United Kingdom. Anant Mohan's co-authors include Randeep Guleria, Karan Madan, Vijay Hadda, Sachin Kumar, Randeep Guleria, Randeep Guleria, Saurabh Mittal, Deepali Jain, Dipendra Kumar Mitra and Pawan Tiwari and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Anant Mohan

290 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anant Mohan India 34 1.8k 847 741 677 561 325 4.0k
Federico Rea Italy 39 1.8k 1.0× 777 0.9× 919 1.2× 1.0k 1.5× 833 1.5× 237 5.4k
Chul‐Gyu Yoo South Korea 31 1.3k 0.7× 572 0.7× 653 0.9× 312 0.5× 500 0.9× 139 3.1k
Andrea Bianco Italy 40 1.7k 1.0× 727 0.9× 991 1.3× 1.2k 1.8× 360 0.6× 142 5.5k
Haibo Qiu China 37 2.1k 1.2× 987 1.2× 1.0k 1.4× 422 0.6× 718 1.3× 231 5.4k
Joon Chang South Korea 38 2.0k 1.1× 894 1.1× 1.5k 2.1× 1.0k 1.5× 925 1.6× 268 5.2k
Vinay Pasupuleti United States 34 854 0.5× 957 1.1× 928 1.3× 633 0.9× 596 1.1× 88 4.0k
Moo Suk Park South Korea 36 1.9k 1.0× 771 0.9× 1.5k 2.1× 639 0.9× 1.1k 1.9× 298 5.0k
Ji Ye Jung South Korea 34 1.6k 0.9× 651 0.8× 1.1k 1.4× 420 0.6× 584 1.0× 243 4.2k
Gilbert Deray France 45 1.2k 0.7× 1.3k 1.5× 1.1k 1.5× 817 1.2× 606 1.1× 213 6.4k
Pieter Vermeersch Belgium 40 689 0.4× 1.1k 1.3× 706 1.0× 227 0.3× 539 1.0× 173 5.1k

Countries citing papers authored by Anant Mohan

Since Specialization
Citations

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

Fields of papers citing papers by Anant Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anant Mohan

This figure shows the co-authorship network connecting the top 25 collaborators of Anant Mohan. A scholar is included among the top collaborators of Anant Mohan 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 Anant Mohan. Anant Mohan 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.
Mohan, Anant, et al.. (2025). Cryptococcal Meningitis Secondary to Immunosuppression in a Case of Lupus Nephritis and Antiphospholipid Syndrome: A Case Report. Journal of the Association of Physicians of India. 73(2). e14–e15.
2.
Kumar, Nathella Pavan, Chandrasekaran Padmapriyadarsini, Arul Nancy, et al.. (2024). Effect of Metformin on systemic chemokine responses during anti-tuberculosis chemotherapy. Tuberculosis. 148. 102523–102523. 5 indexed citations
3.
4.
Bhatnagar, Sushma, Devesh Kumar, Tanima Dwivedi, et al.. (2024). Investigating the Role of Palliative Care Education in Improving the Life Quality of Women with Breast Cancer. Clinical Cancer Investigation Journal. 13(1). 46–50. 1 indexed citations
5.
Mittal, Saurabh, et al.. (2024). Antioxidant therapies for obstructive sleep apnea: A systematic review and meta-analysis. Sleep And Breathing. 28(4). 1513–1522. 4 indexed citations
6.
7.
Chakraborty, Sushmita, et al.. (2023). T‐cell signature cytokines distinguish pulmonary sarcoidosis from pulmonary tuberculosis. European Journal of Immunology. 53(10). e2250255–e2250255. 4 indexed citations
8.
Suri, Tejas Menon, et al.. (2022). Comparison of in-hospital COVID-19 related outcomes between COVISHIELD and COVAXIN recipients. Lung India. 39(3). 305–306.
9.
Sharma, Daya Nand, Randeep Guleria, Naveet Wig, et al.. (2021). Low-dose radiation therapy for COVID-19 pneumonia: a pilot study. British Journal of Radiology. 94(1126). 20210187–20210187. 28 indexed citations
10.
11.
Singh, Varsha, et al.. (2021). Correlation of TTF-1 immunoexpression and EGFR mutation spectrum in non–small cell lung carcinoma. Journal of Pathology and Translational Medicine. 55(4). 279–288. 8 indexed citations
12.
Kumar, Sachin, Surender K. Sharawat, Prabhat Singh Malik, et al.. (2020). Identification of differentially expressed circulating serum microRNA for the diagnosis and prognosis of Indian non–small cell lung cancer patients. Current Problems in Cancer. 44(4). 100540–100540. 45 indexed citations
13.
Kumar, Rohit, Ved Prakash Meena, Manish Soneja, et al.. (2020). SARS-CoV-2 RT-PCR profile in 298 Indian COVID-19 patients: a retrospective observational study. Pathogens and Disease. 79(1). 3 indexed citations
14.
Saxena, Rohit, Rebika Dhiman, Anant Mohan, et al.. (2020). Prospective study to evaluate incidence and indicators for early detection of ethambutol toxicity. British Journal of Ophthalmology. 105(7). 1024–1028. 18 indexed citations
15.
Mittal, Saurabh, Nilima Nilima, Karan Madan, et al.. (2020). Weather Parameters and COVID-19. Journal of Occupational and Environmental Medicine. 63(1). 69–73. 14 indexed citations
16.
Singh, Varsha, Aruna Nambirajan, Prabhat Singh Malik, et al.. (2020). Spectrum of uncommon and compound epidermal growth factor receptor mutations in non-small-cell lung carcinomas with treatment response and outcome analysis: A study from India. Lung Cancer. 149. 53–60. 13 indexed citations
17.
Madan, Karan, Saurabh Mittal, Vijay Hadda, et al.. (2016). Endobronchial ultrasound-guided transbronchial needle aspiration of thyroid: Report of two cases and systematic review of literature. Lung India. 33(6). 682–687. 5 indexed citations
18.
Madan, Karan, Pramod Kumar Garg, S. K. Kabra, Anant Mohan, & Randeep Guleria. (2015). Transesophageal Bronchoscopic Ultrasound-guided Fine-needle Aspiration (EUS-B-FNA) in a 3-Year-Old Child. Journal of Bronchology & Interventional Pulmonology. 22(4). 347–350. 22 indexed citations
19.
Kumar, Sachin, Randeep Guleria, Anant Mohan, et al.. (2010). Utility of plasma tumour necrosis factor-α and transforming growth factor-β1 as predictors of survival and treatment outcome in advanced non-small cell lung carcinoma. Biomarkers. 15(5). 446–453. 4 indexed citations
20.
Kumar, Sachin, et al.. (2010). Plasma DNA level in predicting therapeutic efficacy in advanced nonsmall cell lung cancer. European Respiratory Journal. 36(4). 885–892. 38 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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