Ashish Saroha

783 citations
18 papers · 607 · h-index 14

Impact in

Papers in

Ashish Saroha

18 papers receiving 606 citations

Peers

Ashish Saroha
Comparison fields: 5 of 76
  • Cancer Research 90
  • Immunology 109
  • Molecular Biology 287
  • Cell Biology 66
  • Rheumatology 54
Replace Carole Ferraro‐Peyret with:
Carole Ferraro‐Peyret France
Asta Valančiūtė France
Yu Geng China
Tae Jung Jang South Korea
Suihai Wang China
Dan Yue China
Kyoung Eun Baek South Korea
Xiaolong Ma China
Weigan Shen China
Kang Fan United States
Ashish Saroha relative to Carole Ferraro‐Peyret France Carole Ferraro‐Peyret's profile →
Citations per field
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Carole Ferraro‐Peyret · 1×
Citations per year

Countries citing papers authored by Ashish Saroha

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Saroha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ashish Saroha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ashish Saroha Line = papers co-authored together Ashish Saroha links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2020146
2 201377
3 201459
4 201133
5 201832
6
Altered glycosylation and expression of plasma alpha-1-acid glycoprotein and haptoglobin in rheumatoid arthritis
201130
7 201529
8 201227
9 201127
10 201624
11 201623
12 200623
13 201922
14 201717
15 200814
16 201212
17 20097
18 20095

About Ashish Saroha

Ashish Saroha is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Rheumatology and Cell Biology, having authored 18 papers that have together received 607 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Galectins and Cancer Biology (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cancer Research (90 citations), Immunology (109 citations), Molecular Biology (287 citations), Cell Biology (66 citations) and Rheumatology (54 citations). Ashish Saroha has collaborated with scholars based in India, Israel and United States. Frequent co-authors include Hasi Rani Das, Sagarika Biswas, Bishnu Pada Chatterjee, Anthony H. Futerman, Yael Pewzner‐Jung, Sima Lev, Nandini Verma, Nishanth Ulhas Nair, Eytan Ruppin and Thomas Karn. Their work appears in journals such as PLoS ONE, Science Advances, Cell Death and Disease, Journal of Chromatography A and Clinical Biochemistry.

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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