Haihua Gu

6.2k citations
85 papers · 5.1k indexed · 1 hit paper · h-index 32
Topics
Protein Tyrosine Phosphatases (22 papers)Galectins and Cancer Biology (9 papers)Ubiquitin and proteasome pathways (7 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Haihua Gu

81 papers receiving 5.0k citations

Hit Papers

The ‘Shp'ing news: SH2 domain-containing tyrosine phospha...20032026201020182003250500750

Peers

Haihua Gu
Comparison fields: 5 of 116
  • Molecular Biology 3.3k
  • Immunology 2.0k
  • Oncology 1.2k
  • Cancer Research 580
  • Hematology 379
Replace Yaacov Ben‐David with:
Yaacov Ben‐David Canada
Sophie Tartare‐Deckert France
Fabrice Gouilleux France
Hallgeir Rui United States
Frederick W. Quelle United States
Julie Guillermet‐Guibert France
Domenico Delia Italy
Cheng‐Kui Qu United States
Thomas Kuilman Netherlands
Masahiro Aoki Japan
Haihua Gu relative to Yaacov Ben‐David Canada Yaacov Ben‐David's profile →
Citations per field
00.5×2.7×
Yaacov Ben‐David · 1×
Citations per year

Countries citing papers authored by Haihua Gu

Since Specialization
Citations

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

Fields of papers citing papers by Haihua Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihua Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Haihua Gu. A scholar is included among the top collaborators of Haihua Gu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haihua Gu. Haihua Gu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 2
3 1
4 3
5 1
6 12
7 25
8 12
9 52
10 66
11 10
12
Improvement of similarity measure method
0
13 67
14 11
15 73
16 159
17 296
18 55
19 172
20 9

About Haihua Gu

Haihua Gu is a scholar working on Cancer Research, Immunology and Allergy and Molecular Biology, having authored 85 papers that have together received 5.1k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (22 papers), Galectins and Cancer Biology (9 papers) and Ubiquitin and proteasome pathways (7 papers). The work is most often cited by research in Immunology (2.0k citations), Immunology and Allergy (298 citations) and Molecular Biology (3.3k citations). Haihua Gu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Benjamin G. Neel, Lily Pao, Joanne C. Pratt, Steven J. Burakoff, Yongping Wang, James D. Griffin, John F. Timms, Hiroyuki Maeda, Jeffrey S. Flier and Christian Bjørbæk. Their work appears in journals such as Nature, Journal of Biological Chemistry and Nature Medicine.

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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