Varghese John

4.8k citations
67 papers · 1.6k · h-index 24

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
    • Cholinesterase and Neurodegenerative Diseases

Papers in

    • Extracellular vesicles in disease 9
    • Chemical Synthesis and Analysis 5
    • Alzheimer's disease research and treatments 23

Varghese John

65 papers receiving 1.5k citations

Peers

Varghese John
Comparison fields: 5 of 94
  • Physiology 635
  • Pharmacology 385
  • Computational Theory and Mathematics 327
  • Neurology 150
  • Complementary and alternative medicine 118
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Wenming Li China
María‐Salud García‐Ayllón Spain
Ting-Hai Xu United States
Heike J. Wobst United States
Christine Mavros Australia
Zhao-Feng Jiang China
Suhail Rasool United States
Siva Sundara Kumar Durairajan Hong Kong
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A. Raquel Esteves Portugal
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Citations per field
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Citations per year

Countries citing papers authored by Varghese John

Since Specialization
Citations

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

Fields of papers citing papers by Varghese John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012136
2 2003122
3 202187
4 200784
5 201380
6 200171
7 201266
8 200363
9 200361
10 200646
11 201545
12 202143
13 199041
14 201434
15 201134
16 198933
17 201832
18 201829
19 200829
20 201628

About Varghese John

Varghese John is a scholar working on Molecular Biology, Physiology, Pharmacology, Computational Theory and Mathematics and Oncology, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (23 papers), Cholinesterase and Neurodegenerative Diseases (15 papers), Computational Drug Discovery Methods (14 papers), Extracellular vesicles in disease (9 papers), Chemical Synthesis and Analysis (5 papers), Nuclear Receptors and Signaling (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Drug Transport and Resistance Mechanisms (4 papers). The work is most often cited by research in Physiology (635 citations), Pharmacology (385 citations), Computational Theory and Mathematics (327 citations), Neurology (150 citations) and Complementary and alternative medicine (118 citations). Varghese John has collaborated with scholars based in United States, Norway and Japan. Frequent co-authors include Dale E. Bredesen, Olivier Descamps, Rammohan V. Rao, Sukanto Sinha, Jesus Campagna, Michael J. Bienkowski, James P. Beck, Karen S. Poksay, Robert L. Heinrikson and Tina Bilousova. Their work appears in journals such as Journal of Alzheimer s Disease, Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences, Scientific Reports and Alzheimer s & Dementia.

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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