Bin Gu

489 citations
29 papers · 305 · h-index 10

Impact in

Papers in

    • Chronic Myeloid Leukemia Treatments 4
    • Hematopoietic Stem Cell Transplantation 2
    • Acute Myeloid Leukemia Research 2
    • Anesthesia and Pain Management 2

Bin Gu

27 papers receiving 298 citations

Peers

Bin Gu
Comparison fields: 5 of 50
  • Critical Care and Intensive Care Medicine 41
  • Developmental Neuroscience 22
  • Anesthesiology and Pain Medicine 18
  • Geriatrics and Gerontology 11
  • Hematology 35
Replace Matthias Lindner with:
Matthias Lindner Germany
Federica Fasola Germany
S. Eleftheriadis Greece
Miriam David Israel
Eugene H. C. Liu Singapore
J. Walton United Kingdom
Johnny Steuer Sweden
Xiaoye Lu China
Amira Zaroui France
Gauruv Bose Canada
Bin Gu relative to Matthias Lindner Germany Matthias Lindner's profile →
Citations per field
00.5×2×4×6×8×9×
Matthias Lindner · 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 201396
2 201328
3 201824
4 202019
5 201717
6 201914
7 202113
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 20226
13 20136
14 20196
15 20245
16 20204
17 20214
18 20203
19 20173
20 20193

About Bin Gu

Bin Gu is a scholar working on Hematology, Surgery, Oncology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 29 papers that have together received 305 indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), Acute Myeloid Leukemia Research (2 papers), Anesthesia and Pain Management (2 papers), Pneumothorax, Barotrauma, Emphysema (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (41 citations), Developmental Neuroscience (22 citations), Anesthesiology and Pain Medicine (18 citations), Geriatrics and Gerontology (11 citations) and Hematology (35 citations). Bin Gu has collaborated with scholars based in China, Philippines and Thailand. Frequent co-authors include Guixing Jin, Yitao Jia, Zhongxin Li, Xing Gao, Depei Wu, Xiaojin Wu, Xiao Ma, Junli Ma, Haizhong Zhang and Hongchen Liu. Their work appears in journals such as Journal of the American College of Surgeons, Frontiers of Medicine, Frontiers in Pediatrics, Diseases of the Colon & Rectum and Blood.

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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