H Mohan

757 total citations
11 papers, 107 citations indexed

About

H Mohan is a scholar working on Rheumatology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, H Mohan has authored 11 papers receiving a total of 107 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rheumatology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Immunology. Recurrent topics in H Mohan's work include Vasculitis and related conditions (5 papers), Systemic Lupus Erythematosus Research (4 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). H Mohan is often cited by papers focused on Vasculitis and related conditions (5 papers), Systemic Lupus Erythematosus Research (4 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). H Mohan collaborates with scholars based in India, United States and United Kingdom. H Mohan's co-authors include Sanjeev Sharma, Awtar Krishan, Jayakanthan Kabeerdoss, Debashish Danda, Ruchika Goel, George Joseph, Sumita Danda, Aswin Nair, Visalakshi Jeyaseelan and Swapan K. Nath and has published in prestigious journals such as Annals of the Rheumatic Diseases, Frontiers in Cell and Developmental Biology and Human Immunology.

In The Last Decade

H Mohan

10 papers receiving 106 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H Mohan India 6 44 35 33 26 21 11 107
Julien Rohmer France 6 31 0.7× 21 0.6× 30 0.9× 17 0.7× 28 1.3× 13 111
Voytek Slowik United States 7 26 0.6× 18 0.5× 20 0.6× 42 1.6× 10 0.5× 15 142
Caroline Thomée Belgium 4 69 1.6× 19 0.5× 17 0.5× 17 0.7× 29 1.4× 8 145
M. Meroni Italy 7 22 0.5× 8 0.2× 27 0.8× 21 0.8× 46 2.2× 12 142
Erika Van Nieuwenhove Belgium 8 53 1.2× 8 0.2× 34 1.0× 18 0.7× 59 2.8× 13 132
Johanna Jimenez United States 5 39 0.9× 48 1.4× 47 1.4× 13 0.5× 5 0.2× 10 116
Allison Guttmann United States 4 25 0.6× 6 0.2× 38 1.2× 24 0.9× 14 0.7× 7 108
N. Vegas-Revenga Spain 6 21 0.5× 24 0.7× 79 2.4× 9 0.3× 27 1.3× 11 114
Haihong Yao China 8 39 0.9× 9 0.3× 28 0.8× 34 1.3× 24 1.1× 19 128
José Alfaro-Lozano Peru 7 17 0.4× 14 0.4× 87 2.6× 5 0.2× 40 1.9× 18 125

Countries citing papers authored by H Mohan

Since Specialization
Citations

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

Fields of papers citing papers by H Mohan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H Mohan

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

All Works

11 of 11 papers shown
1.
Gupta, Nikhil, et al.. (2024). Impact of endometriosis on oocyte quality in women undergoing assisted reproduction. Minerva Obstetrics and Gynecology. 77(3). 205–214.
2.
Kabeerdoss, Jayakanthan, Debashish Danda, Ruchika Goel, et al.. (2022). Genome-Wide DNA Methylation Profiling in CD8 T-Cells and Gamma Delta T-Cells of Asian Indian Patients With Takayasu Arteritis. Frontiers in Cell and Developmental Biology. 10. 843413–843413. 2 indexed citations
3.
Gupta, Nikhil, Jayakanthan Kabeerdoss, H Mohan, Ruchika Goel, & Debashish Danda. (2018). High Secretion of Interleukin-6 and Increased MINCLE Receptor Expression Upon Exposure to Mycobacterial Cord Factor Analog Trehalose-6, 6-Dibehenate (TDB) in Patients with Takayasu Arteritis. The Open Rheumatology Journal. 12(1). 30–36. 2 indexed citations
4.
Danda, Debashish, Ruchika Goel, Sumita Danda, et al.. (2017). Interleukin-17F and interleukin-6 gene polymorphisms in Asian Indian patients with Takayasu arteritis. Human Immunology. 78(7-8). 515–520. 12 indexed citations
5.
Goel, Ruchika, Aswin Nair, Jayakanthan Kabeerdoss, et al.. (2017). Study of serial serum myeloid-related protein 8/14 as a sensitive biomarker in Takayasu arteritis: a single centre study. Rheumatology International. 38(4). 623–630. 14 indexed citations
7.
Goel, Ruchika, Jayakanthan Kabeerdoss, H Mohan, et al.. (2017). Soluble‐HLA‐E: A follow up biomarker in Takayasu arteritis, independent of HLA‐E genotype. International Journal of Rheumatic Diseases. 21(2). 532–540. 11 indexed citations
8.
Gupta, Nakul, et al.. (2016). AB0149 Associations of Anti Nucleosome Antibody in Systemic Lupus Erythematosus in India. Annals of the Rheumatic Diseases. 75. 947–947. 3 indexed citations
9.
Sharma, Sanjeev, et al.. (2004). Genetic polymorphisms of CYP2D6, GSTM1, and GSTT1 genes and bladder cancer risk in North India. Cancer Genetics and Cytogenetics. 156(1). 68–73. 41 indexed citations
10.
Maini, S., et al.. (2002). Assessment of olfactory status in allergic and non-allergic rhinitis patients.. PubMed. 46(2). 186–94. 5 indexed citations
11.
Sharma, Ashish, et al.. (1995). Congenital jejunal leiomyoma in a neonate.. PubMed. 14(4). 153–153. 1 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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