Bin Gu

463 citations
29 papers · 287 · h-index 10

Impact in

Papers in

    • Nausea and vomiting management 4
    • Anesthesia and Pain Management 4
    • Chronic Myeloid Leukemia Treatments 5
    • Acute Myeloid Leukemia Research 3
    • Hematopoietic Stem Cell Transplantation 3

Bin Gu

27 papers receiving 281 citations

Peers

Bin Gu
Comparison fields: 5 of 60
  • Critical Care and Intensive Care Medicine 47
  • Developmental Neuroscience 33
  • Anesthesiology and Pain Medicine 34
  • Geriatrics and Gerontology 17
  • Hematology 41
Replace Mitsuyoshi Tei with:
Mitsuyoshi Tei Japan
Shunya Matsumoto Japan
PE Spronk Netherlands
Matthias Lindner Germany
Jason R. Wild United States
Alisa C. Thorne United States
Masaaki Murakawa Japan
Michael Cheung Australia
Shengping Lin China
Deepak Gurushanthaiah United States
Bin Gu relative to Mitsuyoshi Tei Japan Mitsuyoshi Tei's profile →
Citations per field
00.5×2.9×
Mitsuyoshi Tei · 1×
Citations per year

Countries citing papers authored by Bin Gu

Since Specialization
Citations

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

Fields of papers citing papers by Bin Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201393
2 201327
3 201824
4 202017
5 201716
6 201914
7 202112
8 201812
9 202011
10 201811
11
Changes of ammonia levels in patients with acute on chronic liver failure treated by plasma exchange.
20148
12 20136
13 20195
14 20204
15 20214
16 20203
17 20223
18 20173
19 20192
20 20142

About Bin Gu

Bin Gu is a scholar working on Surgery, Hematology, Oncology, Pulmonary and Respiratory Medicine and Anesthesiology and Pain Medicine, having authored 29 papers that have together received 287 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Nausea and vomiting management (4 papers), Anesthesia and Pain Management (4 papers), CAR-T cell therapy research (4 papers), Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (47 citations), Developmental Neuroscience (33 citations), Anesthesiology and Pain Medicine (34 citations), Geriatrics and Gerontology (17 citations) and Hematology (41 citations). Bin Gu has collaborated with scholars based in China, Thailand and Canada. Frequent co-authors include Yitao Jia, Guixing Jin, Xing Gao, Zhongxin Li, Haizhong Zhang, Hongchen Liu, Junli Ma, Depei Wu, Xiao Ma and Xiaojin Wu. Their work appears in journals such as Frontiers in Pediatrics, Medicine, Journal of Biomedical Nanotechnology, Diseases of the Colon & Rectum and Leukemia Research.

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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