Bing Ye

3.5k citations
57 papers · 2.4k indexed · h-index 22

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Neurobiology and Insect Physiology Research
    • Neuroscience and Neuropharmacology Research
    • Axon Guidance and Neuronal Signaling

Papers in

    • Neurobiology and Insect Physiology Research 25
    • Axon Guidance and Neuronal Signaling 8
    • Neuroscience and Neuropharmacology Research 7
    • Genetics, Aging, and Longevity in Model Organisms 3

Bing Ye

56 papers receiving 2.4k citations

Peers

Bing Ye
Comparison fields: 5 of 112
  • Aging 170
  • Cellular and Molecular Neuroscience 1.2k
  • Cell Biology 871
  • Developmental Neuroscience 172
  • Molecular Biology 1.3k
Replace Wei Xie with:
Wei Xie China
Christoph Schuster Germany
Matthias Landgraf United Kingdom
Iris Salecker United Kingdom
Brian D. McCabe United States
Oren Schuldiner Israel
Hung–Hsiang Yu United States
Maximiliano L. Suster Japan
Paul Skehel United Kingdom
Ulrich Thomas Germany
Bing Ye relative to Wei Xie China Wei Xie's profile →
Citations per field
00.5×1.7×
Wei Xie · 1×
Citations per year

Countries citing papers authored by Bing Ye

Since Specialization
Citations

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

Fields of papers citing papers by Bing Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20243
3 20233
4 202320
5 20232
6 20224
7 202231
8 20201
9 201911
10 201722
11 20156
12 20156
13 20156
14 20155
15 201476
16 201420
17 2008225
18 20061
19 2004188
20 2003215

About Bing Ye

Bing Ye is a scholar working on Cellular and Molecular Neuroscience, Aging, Biophysics, Developmental Neuroscience and Molecular Biology, having authored 57 papers that have together received 2.4k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (25 papers), Axon Guidance and Neuronal Signaling (8 papers), Neuroscience and Neuropharmacology Research (7 papers), RNA Research and Splicing (6 papers), Cell Image Analysis Techniques (5 papers), Cellular transport and secretion (5 papers), Developmental Biology and Gene Regulation (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (170 citations), Cellular and Molecular Neuroscience (1.2k citations), Cell Biology (871 citations), Developmental Neuroscience (172 citations) and Molecular Biology (1.3k citations). Bing Ye has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yuh Nung Jan, Lily Yeh Jan, Susan Younger, Wesley B. Grueber, Ye Zhang, Wei Song, Adrian W. Moore, Jung Hwan Kim, Carlos G. Dotti and Alfredo Cáceres. Their work appears in journals such as Current Biology, Journal of Neuroscience, Neuron, Cell Reports and Disease Models & Mechanisms.

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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