Xiaobing Ye

1.9k citations
37 papers · 1.6k · h-index 20

Impact in

Papers in

Xiaobing Ye

37 papers receiving 1.6k citations

Peers

Xiaobing Ye
Comparison fields: 5 of 105
  • Cancer Research 330
  • Endocrine and Autonomic Systems 147
  • Immunology 391
  • Physiology 293
  • Critical Care and Intensive Care Medicine 37
Replace Heng Zeng with:
Heng Zeng United States
Beamon Agarwal United States
Vijay Patel United States
Mayumi Suzuki Japan
Andreas Petry Germany
Amaneh Mohammadi Roushandeh Iran
Larissa Prata United States
Jincheng Liu China
Miaomiao Fan China
Markus Schosserer Austria
Xiaobing Ye relative to Heng Zeng United States Heng Zeng's profile →
Citations per field
00.5×3.7×
Heng Zeng · 1×
Citations per year

Countries citing papers authored by Xiaobing Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaobing 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 Xiaobing Ye Line = papers co-authored together Xiaobing 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 1999317
2 2006188
3 2008168
4
Pyrrolidine dithiocarbamate prevents I-kappaB degradation and reduces microvascular injury induced by lipopolysaccharide in multiple organs.
1999129
5 200981
6 200978
7 199967
8 200254
9 200947
10 201847
11 201241
12 201237
13 201335
14 200132
15 202031
16 200830
17 201329
18 201529
19 201422
20 201520

About Xiaobing Ye

Xiaobing Ye is a scholar working on Molecular Biology, Cancer Research, Immunology, Epidemiology and Physiology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Response and Inflammation (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), NF-κB Signaling Pathways (5 papers), Sepsis Diagnosis and Treatment (4 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related molecular mechanisms research (3 papers), Nitric Oxide and Endothelin Effects (2 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Cancer Research (330 citations), Endocrine and Autonomic Systems (147 citations), Immunology (391 citations), Physiology (293 citations) and Critical Care and Intensive Care Medicine (37 citations). Xiaobing Ye has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Shu Fang Liu, Asrar B. Malik, Dongmei Song, Jianqiang Ding, Harly Greenberg, Xiaozhou Zhou, Aung Htoo, Gang Liu, Sun‐Zhong Mao and Juan Cai. Their work appears in journals such as Biochemical and Biophysical Research Communications, Disease Markers, PLoS ONE, The Journal of Experimental Medicine and BioMed Research International.

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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