Avi Patel

578 citations
19 papers · 409 · h-index 10

Impact in

    • Traditional and Medicinal Uses of Annonaceae
    • Alkaloids: synthesis and pharmacology
    • Berberine and alkaloids research

Papers in

    • Alkaloids: synthesis and pharmacology 13
    • Berberine and alkaloids research 5
    • Traditional and Medicinal Uses of Annonaceae 12

Avi Patel

19 papers receiving 396 citations

Peers

Avi Patel
Comparison fields: 5 of 50
  • Biochemistry 283
  • Pharmacology 333
  • Organic Chemistry 216
  • Pharmacology 74
  • Biological Psychiatry 4
Replace Marco Mottinelli with:
Marco Mottinelli United States
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Ole Jensen Germany
Kelly-Ann S. Schlegel
Christine E Heading United Kingdom
Peter R. Guzzo United States
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Avi Patel relative to Marco Mottinelli United States Marco Mottinelli's profile →
Citations per field
00.5×1.5×1.9×
Marco Mottinelli · 1×
Citations per year

Countries citing papers authored by Avi Patel

Since Specialization
Citations

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

Fields of papers citing papers by Avi Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2019112
2 202071
3 202152
4 202150
5 202224
6 202221
7 202120
8
PD-L1 instead of PD-1 status is associated with the clinical features in human primary prostate tumors.
201913
9 20239
10 20209
11 20207
12 20216
13 20214
14 20213
15 20212
16 20202
17 20202
18
Sign Language Recognition for Static and Dynamic Gestures
20211
19 20211

About Avi Patel

Avi Patel is a scholar working on Pharmacology, Biochemistry, Organic Chemistry, Pharmacology and Molecular Biology, having authored 19 papers that have together received 409 indexed citations. Recurring topics across this work include Alkaloids: synthesis and pharmacology (13 papers), Traditional and Medicinal Uses of Annonaceae (12 papers), Chemical synthesis and alkaloids (9 papers), Berberine and alkaloids research (5 papers), Neuropeptides and Animal Physiology (2 papers), Receptor Mechanisms and Signaling (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Neuroscience of respiration and sleep (1 paper). The work is most often cited by research in Biochemistry (283 citations), Pharmacology (333 citations), Organic Chemistry (216 citations), Pharmacology (74 citations) and Biological Psychiatry (4 citations). Avi Patel has collaborated with scholars based in United States, Malaysia and Italy. Frequent co-authors include Takato Hiranita, Christopher R. McCurdy, Lance Richard McMahon, Francisco León, Luis F. Restrepo, Samuel Obeng, Abhisheak Sharma, Shyam H. Kamble, Surash Ramanathan and Nelson Jeng‐Yeou Chear. Their work appears in journals such as The FASEB Journal, Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry, Alzheimer s & Dementia and Journal of Natural Products.

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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