Asad Jan

1.4k citations
32 papers · 1.1k · h-index 15

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Parkinson's Disease Mechanisms and Treatments 8
    • Neurological disorders and treatments 4
    • Botulinum Toxin and Related Neurological Disorders 2

Asad Jan

30 papers receiving 1.1k citations

Peers

Asad Jan
Comparison fields: 5 of 97
  • Physiology 684
  • Neurology 109
  • Neurology 188
  • Pharmacology 171
  • Computational Theory and Mathematics 157
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Citations per field
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Citations per year

Countries citing papers authored by Asad Jan

Since Specialization
Citations

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

Fields of papers citing papers by Asad Jan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008228
2 2010222
3 2010155
4 202172
5 202153
6 201246
7 201845
8 201645
9 202235
10 202130
11 201524
12 201920
13 201720
14 202120
15 202217
16 202111
17 201910
18 20088
19 20122
20 20222

About Asad Jan

Asad Jan is a scholar working on Molecular Biology, Neurology, Physiology, Plant Science and Computational Theory and Mathematics, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Computational Drug Discovery Methods (5 papers), Neurological disorders and treatments (4 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Plant Genetic and Mutation Studies (3 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Physiology (684 citations), Neurology (109 citations), Neurology (188 citations), Pharmacology (171 citations) and Computational Theory and Mathematics (157 citations). Asad Jan has collaborated with scholars based in Denmark, Canada and Pakistan. Frequent co-authors include Hilal A. Lashuel, Dean M. Hartley, Ruth Luthi‐Carter, Özgün Gökçe, Nelson Ferreira, Poul Henning Jensen, Christian Bjerggaard Vægter, Oskar Adolfsson, Andrea Pfeifer and Andreas Muhs. Their work appears in journals such as Acta Neuropathologica Communications, Journal of Biological Chemistry, Acta Neuropathologica, Rice and Brain Communications.

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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