Xiaolan Ye

3.3k citations
94 papers · 2.4k · h-index 23

Impact in

  • Aging top 0.5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Olfactory and Sensory Function Studies

Papers in

Xiaolan Ye

88 papers receiving 2.3k citations

Peers

Xiaolan Ye
Comparison fields: 5 of 158
  • Aging 305
  • Sensory Systems 257
  • Health 207
  • Endocrine and Autonomic Systems 161
  • Molecular Medicine 92
Replace Suresh I. S. Rattan with:
Suresh I. S. Rattan Denmark
Giovanni Mario Pes Italy
Alexander Vaiserman Ukraine
D. Craig Willcox United States
Bradley J. Willcox United States
Cem Ekmekçioğlu Austria
Yiwen Zhu China
Hasan Mahmud Reza Bangladesh
John F. Pearson New Zealand
Asha Rani United States
Xiaolan Ye relative to Suresh I. S. Rattan Denmark Suresh I. S. Rattan's profile →
Citations per field
00.5×6.5×
Suresh I. S. Rattan · 1×
Citations per year

Countries citing papers authored by Xiaolan Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolan Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999488
2 2007222
3 2015171
4 2016122
5 2013106
6 2016105
7 2017102
8 201971
9 201769
10 201849
11 200948
12 202141
13 201739
14 201336
15 201935
16 201130
17 202029
18 202029
19 202228
20 201628

About Xiaolan Ye

Xiaolan Ye is a scholar working on Molecular Biology, Plant Science, Analytical Chemistry, Genetics and Food Science, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Chromatography in Natural Products (5 papers), Antibiotic Resistance in Bacteria (4 papers), Bacteriophages and microbial interactions (4 papers), Olfactory and Sensory Function Studies (4 papers), Neurobiology and Insect Physiology Research (3 papers), Traditional Chinese Medicine Analysis (3 papers), Natural product bioactivities and synthesis (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Aging (305 citations), Sensory Systems (257 citations), Health (207 citations), Endocrine and Autonomic Systems (161 citations) and Molecular Medicine (92 citations). Xiaolan Ye has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Linda B. Buck, Nan Lin, Walter M. Ensel, Michael Petrascheck, Kunio Kondoh, Zhonghua Lu, Thomas Märshall, J. S. Burks, Changwei Lei and Hongning Wang. Their work appears in journals such as Scientific Reports, Medicine, PeerJ, Antimicrobial Agents and Chemotherapy and Nature.

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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