Bin Ye

592 citations
38 papers · 478 · h-index 12

Impact in

Papers in

Bin Ye

35 papers receiving 464 citations

Peers

Bin Ye
Comparison fields: 5 of 87
  • Pathology and Forensic Medicine 166
  • Developmental Neuroscience 22
  • Parasitology 34
  • Emergency Medicine 35
  • Complementary and alternative medicine 18
Replace Shyama Chatterjee with:
Shyama Chatterjee Belgium
María Cecilia Rodriguez‐Galán Argentina
Yan Rao China
Yongxin Luan China
Decheng Lv China
Lijin Zeng China
Aaron J. Carman United States
Ziyi Liu China
Atsuko Niwa Japan
Bin Ye relative to Shyama Chatterjee Belgium Shyama Chatterjee's profile →
Citations per field
00.5×5×10×15×17.5×
Shyama Chatterjee · 1×
Citations per year

Countries citing papers authored by Bin Ye

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200585
2 200956
3 201449
4 202049
5 201226
6 201226
7 200522
8 200820
9 201017
10 201213
11 201513
12 202012
13 201212
14 201411
15 20139
16
Iron chelator daphnetin against Pneumocystis carinii in vitro.
20048
17 20168
18 20167
19 20145
20 20165

About Bin Ye

Bin Ye is a scholar working on Pathology and Forensic Medicine, Urology, Surgery, Molecular Biology and Parasitology, having authored 38 papers that have together received 478 indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (10 papers), Congenital Anomalies and Fetal Surgery (7 papers), Urological Disorders and Treatments (4 papers), Toxoplasma gondii Research Studies (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Parasite Biology and Host Interactions (2 papers), Pancreatic function and diabetes (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (166 citations), Developmental Neuroscience (22 citations), Parasitology (34 citations), Emergency Medicine (35 citations) and Complementary and alternative medicine (18 citations). Bin Ye has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Nian‐Qing Shi, J. C. Makielski, Yuh Nung Jan, Weihua Wu, Li Zhang, Jonathan C. Makielski, Stacie L. Kroboth, Jason Sims, Elizabeth M. McNally and Jing Kong. Their work appears in journals such as Parasitology Research, Trends in Cell Biology, Experimental Parasitology, Biochemical and Biophysical Research Communications and Virology Journal.

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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