Jenny Yan

2.1k citations
21 papers · 859 · h-index 15

Impact in

  • Aging top 5%
    • CRISPR and Genetic Engineering
    • Ion channel regulation and function
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Melanoma and MAPK Pathways

Papers in

Jenny Yan

21 papers receiving 853 citations

Peers

Jenny Yan
Comparison fields: 5 of 88
  • Aging 48
  • Molecular Biology 624
  • Cellular and Molecular Neuroscience 160
  • Business and International Management 13
  • Cancer Research 86
Replace Masakazu Hashimoto with:
Masakazu Hashimoto Japan
Ulrich Elling Austria
Ruilin Tian China
Paulina Strzyz Germany
Choah Kim United States
Roberta Tufi United Kingdom
Elizabeth M. Kass United States
Elaine Pirie United States
Luanna K. Putney United States
Gretchen Kiser United States
Jenny Yan relative to Masakazu Hashimoto Japan Masakazu Hashimoto's profile →
Citations per field
00.5×2.9×
Masakazu Hashimoto · 1×
Citations per year

Countries citing papers authored by Jenny Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jenny Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015143
2 2012101
3 202086
4 201473
5 199368
6 201657
7 199456
8 201154
9 201438
10 202233
11 201127
12 201226
13 199623
14 201120
15 201717
16 201412
17 20208
18 20168
19 20236
20 20122

About Jenny Yan

Jenny Yan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 859 indexed citations. Recurring topics across this work include Ion channel regulation and function (5 papers), Neuroscience and Neuropharmacology Research (5 papers), CRISPR and Genetic Engineering (4 papers), RNA Research and Splicing (3 papers), Melanoma and MAPK Pathways (2 papers), Electrochemical Analysis and Applications (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Aging (48 citations), Molecular Biology (624 citations), Cellular and Molecular Neuroscience (160 citations), Business and International Management (13 citations) and Cancer Research (86 citations). Jenny Yan has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Toshio Narahashi, William B. Thornhill, Jing Zhu, Damu Tang, Fengxiang Wei, Jianbin Wang, Philip D. Gregory, Scott Kennedy, Saurabh Asthana and Sourav Bandyopadhyay. Their work appears in journals such as FEBS Journal, Development, Cellular and Molecular Neurobiology, Cell Reports and Current Medicinal Chemistry.

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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