Long Ye

457 citations
37 papers · 377 · h-index 12

Impact in

    • Spectroscopy Techniques in Biomedical and Chemical Research
    • Synthesis and biological activity
    • Click Chemistry and Applications

Papers in

Long Ye

36 papers receiving 375 citations

Peers

Long Ye
Comparison fields: 5 of 81
  • Biophysics 20
  • Organic Chemistry 84
  • Molecular Biology 159
  • Clinical Biochemistry 15
  • Cancer Research 30
Replace Qing‐Xin Hua with:
Qing‐Xin Hua United States
Amanda Cobos‐Correa Switzerland
Takashi Kanamori Japan
Shinsaku Nakagawa Japan
Roman N. Chuprov‐Netochin Russia
E. Allen Sickmier United States
Rhushikesh A. Kulkarni United States
Adam R. Blanden United States
Long Ye relative to Qing‐Xin Hua United States Qing‐Xin Hua's profile →
Citations per field
00.5×
Qing‐Xin Hua · 1×
Citations per year

Countries citing papers authored by Long Ye

Since Specialization
Citations

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

Fields of papers citing papers by Long Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201933
2 201830
3 202330
4 201729
5 201028
6 201022
7 202119
8 200818
9 201416
10 201815
11 201112
12 200911
13 201711
14 201010
15 200410
16 20179
17 20228
18 20198
19 20097
20 20187

About Long Ye

Long Ye is a scholar working on Molecular Biology, Organic Chemistry, Spectroscopy, Oncology and Immunology, having authored 37 papers that have together received 377 indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (4 papers), Ubiquitin and proteasome pathways (3 papers), Glycosylation and Glycoproteins Research (3 papers), Molecular Sensors and Ion Detection (3 papers), Job Satisfaction and Organizational Behavior (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Antibiotic Resistance in Bacteria (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Biophysics (20 citations), Organic Chemistry (84 citations), Molecular Biology (159 citations), Clinical Biochemistry (15 citations) and Cancer Research (30 citations). Long Ye has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Mark J. Kurth, Liming Jiang, Fengyan Jin, Rongxiu Li, Yun Dai, Thorsten R. Doeppner, James C. Fettinger, Dirk M. Hermann, Panjamaporn Sangwung and Dexian Dong. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Journal of Separation Science, Microbiology Spectrum and Oncotarget.

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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