Sharad K. Mittal

1.6k total citations
43 papers, 1.2k citations indexed

About

Sharad K. Mittal is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sharad K. Mittal has authored 43 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 18 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sharad K. Mittal's work include Corneal Surgery and Treatments (18 papers), Ocular Surface and Contact Lens (16 papers) and Mast cells and histamine (10 papers). Sharad K. Mittal is often cited by papers focused on Corneal Surgery and Treatments (18 papers), Ocular Surface and Contact Lens (16 papers) and Mast cells and histamine (10 papers). Sharad K. Mittal collaborates with scholars based in United States, India and United Kingdom. Sharad K. Mittal's co-authors include Paul A. Roche, Sunil K. Chauhan, William Foulsham, Afsaneh Amouzegar, Srikant Kumar Sahu, Wonkyung Cho, Satoshi Ishido, Kyungjin Cho, Masahiro Omoto and Mingshun Li and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Scientific Reports.

In The Last Decade

Sharad K. Mittal

41 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sharad K. Mittal United States 19 426 403 373 231 162 43 1.2k
Mingxia Sun China 17 198 0.5× 298 0.7× 375 1.0× 241 1.0× 14 0.1× 45 958
Maria Teresa Perra Italy 17 174 0.4× 209 0.5× 114 0.3× 249 1.1× 58 0.4× 52 833
Nick Di Girolamo Australia 15 147 0.3× 382 0.9× 279 0.7× 169 0.7× 30 0.2× 24 754
Lucia Kuffová United Kingdom 22 322 0.8× 502 1.2× 333 0.9× 299 1.3× 22 0.1× 46 1.5k
Irit Adini United States 17 189 0.4× 79 0.2× 118 0.3× 480 2.1× 38 0.2× 32 1.2k
Cuong Q. Nguyen United States 27 765 1.8× 122 0.3× 415 1.1× 384 1.7× 30 0.2× 66 2.0k
Toshimi Ikuse Japan 8 415 1.0× 145 0.4× 121 0.3× 245 1.1× 19 0.1× 10 884
Kenneth J. Mandell United States 17 179 0.4× 107 0.3× 106 0.3× 510 2.2× 21 0.1× 27 1.1k
Ram P. Singh United States 20 902 2.1× 82 0.2× 70 0.2× 467 2.0× 116 0.7× 44 1.7k
Janice L. Walker United States 22 126 0.3× 172 0.4× 87 0.2× 851 3.7× 25 0.2× 51 1.5k

Countries citing papers authored by Sharad K. Mittal

Since Specialization
Citations

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

Fields of papers citing papers by Sharad K. Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharad K. Mittal. 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 Sharad K. Mittal. The network helps show where Sharad K. Mittal may publish in the future.

Co-authorship network of co-authors of Sharad K. Mittal

This figure shows the co-authorship network connecting the top 25 collaborators of Sharad K. Mittal. A scholar is included among the top collaborators of Sharad K. Mittal 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 Sharad K. Mittal. Sharad K. Mittal 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.
2.
Cho, Wonkyung, et al.. (2024). Hepatocyte growth factor upregulates MMP1 and MMP10 expression and resolves corneal fibrosis. Scientific Reports. 14(1). 26421–26421. 2 indexed citations
3.
Cho, Wonkyung, et al.. (2024). Mesenchymal stromal cells protect tissues from Th1 immune responses via IL ‐11 secretion. The FASEB Journal. 38(10). e23683–e23683. 1 indexed citations
4.
Cho, Wonkyung, Sharad K. Mittal, & Sunil K. Chauhan. (2023). Mesenchymal Stromal Cells Suppress T-Cell-Mediated Delayed-Type Hypersensitivity via ALCAM-CD6 Interaction. Stem Cells Translational Medicine. 12(4). 221–233. 8 indexed citations
5.
Cho, Wonkyung, et al.. (2023). IL-36γ Augments Ocular Angiogenesis by Promoting the Vascular Endothelial Growth Factor–Vascular Endothelial Growth Factor Receptor Axis. American Journal Of Pathology. 193(11). 1740–1749. 6 indexed citations
6.
Cho, Wonkyung, et al.. (2022). Suppression of lipopolysaccharide-induced corneal opacity by hepatocyte growth factor. Scientific Reports. 12(1). 494–494. 14 indexed citations
7.
Cho, Wonkyung, et al.. (2022). Ocular surface mast cells promote inflammatory lymphangiogenesis. Microvascular Research. 141. 104320–104320. 12 indexed citations
8.
Singh, Rohan Bir, Sharad K. Mittal, Tomás Blanco, et al.. (2021). Ocular redness – I: Etiology, pathogenesis, and assessment of conjunctival hyperemia. The Ocular Surface. 21. 134–144. 36 indexed citations
9.
Singh, Rohan Bir, Tomás Blanco, Sharad K. Mittal, et al.. (2021). Pigment Epithelium–Derived Factor Enhances the Suppressive Phenotype of Regulatory T Cells in a Murine Model of Dry Eye Disease. American Journal Of Pathology. 191(4). 720–729. 13 indexed citations
10.
Singh, Rohan Bir, Sharad K. Mittal, Tomás Blanco, et al.. (2021). Ocular redness – II: Progress in development of therapeutics for the management of conjunctival hyperemia. The Ocular Surface. 21. 66–77. 11 indexed citations
11.
Mittal, Sharad K., et al.. (2021). Mast cells directly activate corneal allograft-primed T cells. Investigative Ophthalmology & Visual Science. 62(8). 890–890. 1 indexed citations
12.
Cho, Wonkyung, et al.. (2021). Spatial Distribution of Mast Cells Regulates Asymmetrical Angiogenesis at the Ocular Surface. American Journal Of Pathology. 191(6). 1108–1117. 10 indexed citations
13.
Foulsham, William, Sharad K. Mittal, Y. Taketani, et al.. (2020). Aged Mice Exhibit Severe Exacerbations of Dry Eye Disease with an Amplified Memory Th17 Cell Response. American Journal Of Pathology. 190(7). 1474–1482. 21 indexed citations
14.
Bengani, Lokendrakumar C., Hidenaga Kobashi, Amy E. Ross, et al.. (2020). Steroid-eluting contact lenses for corneal and intraocular inflammation. Acta Biomaterialia. 116. 149–161. 44 indexed citations
15.
Foulsham, William, et al.. (2019). The therapeutic application of mesenchymal stem cells at the ocular surface. The Ocular Surface. 17(2). 198–207. 34 indexed citations
16.
Foulsham, William, Sharad K. Mittal, Takeshi Nakao, et al.. (2019). The purinergic receptor antagonist oxidized adenosine triphosphate suppresses immune-mediated corneal allograft rejection. Scientific Reports. 9(1). 8617–8617. 5 indexed citations
17.
Mittal, Sharad K., et al.. (2019). Mesenchymal Stromal Cells Modulate Corneal Alloimmunity via Secretion of Hepatocyte Growth Factor. Stem Cells Translational Medicine. 8(10). 1030–1040. 33 indexed citations
18.
Mittal, Sharad K., Kyungjin Cho, Satoshi Ishido, & Paul A. Roche. (2015). Interleukin 10 (IL-10)-mediated Immunosuppression. Journal of Biological Chemistry. 290(45). 27158–27167. 119 indexed citations
19.
Mittal, Sharad K. & Paul A. Roche. (2015). Suppression of antigen presentation by IL-10. Current Opinion in Immunology. 34. 22–27. 229 indexed citations
20.
Kaul, Sunil C., Sharad K. Mittal, Lionel Feigenbaum, Michael J. Kruhlak, & Paul A. Roche. (2015). Expression of the SNARE Protein SNAP-23 Is Essential for Cell Survival. PLoS ONE. 10(2). e0118311–e0118311. 16 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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