Ayush Midha

612 citations
5 papers · 428 · 1 hit paper · h-index 4

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
  • Physiology top 10%
    • Telomeres, Telomerase, and Senescence
    • Adipose Tissue and Metabolism

Papers in

    • Pancreatic function and diabetes 2
    • Telomeres, Telomerase, and Senescence 1
    • Calcium signaling and nucleotide metabolism 1

Ayush Midha

4 papers receiving 424 citations

Ayush Midha's Hit Papers

Acceleration of β Cell Aging Determines Diabetes and Senolysis Improves Disease Outcomes 2019 · 339 citations
3390+2+4Years since publication100200300

Peers

Ayush Midha
Comparison fields: 5 of 60
  • Aging 37
  • Physiology 171
  • Physiology 18
  • Endocrinology, Diabetes and Metabolism 59
  • Surgery 138
Replace Vaja Chipashvili with:
Vaja Chipashvili United States
Concetta Aloi Italy
Chihiro Satake Japan
Lukas Adrian Berchtold Denmark
Samira Alliouachene United Kingdom
Elodie Eury France
Noa Weinberg-Corem Israel
Stephanie C. Colvin United States
Vishal S. Parekh United States
Joerg Kumbrink Germany
Ayush Midha relative to Vaja Chipashvili United States Vaja Chipashvili's profile →
Citations per field
00.5×1.5×
Vaja Chipashvili · 1×
Citations per year

Countries citing papers authored by Ayush Midha

Since Specialization
Citations

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

Fields of papers citing papers by Ayush Midha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ayush Midha, 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 Ayush Midha Line = papers co-authored together Ayush Midha links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Acceleration of β Cell Aging Determines Diabetes and Senolysis Improves Disease Outcomes
Hit paper breakdown →
2019339
2 202146
3 202337
4 20256
5 20260

About Ayush Midha

Ayush Midha is a scholar working on Surgery, Physiology, Genetics, Cancer Research and Molecular Biology, having authored 5 papers that have together received 428 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), High Altitude and Hypoxia (1 paper), Hemoglobin structure and function (1 paper), Diabetes and associated disorders (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Mitochondrial Function and Pathology (1 paper) and Calcium signaling and nucleotide metabolism (1 paper). The work is most often cited by research in Aging (37 citations), Physiology (171 citations), Physiology (18 citations), Endocrinology, Diabetes and Metabolism (59 citations) and Surgery (138 citations). Ayush Midha has collaborated with scholars based in United States. Frequent co-authors include Susan Bonner‐Weir, Cristina Aguayo‐Mazzucato, Jennifer Hollister‐Lock, Gordon C. Weir, Jan van Deursen, Vaja Chipashvili, Priscila Carapeto, Hui Pan, Isha H. Jain and Yuyin Zhou. Their work appears in journals such as Cell Metabolism, Diabetes and Cell.

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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