Long-Jun Gu

1.5k citations
43 papers · 1.2k · h-index 14

Impact in

Papers in

Long-Jun Gu

40 papers receiving 1.2k citations

Peers

Long-Jun Gu
Comparison fields: 5 of 92
  • Hematology 401
  • Public Health, Environmental and Occupational Health 466
  • Genetics 85
  • Oncology 202
  • Pediatrics, Perinatology and Child Health 142
Replace Silke Lüschen with:
Silke Lüschen Germany
Astrid Voigt Germany
Barbara Cebula‐Obrzut Poland
Nikki Ann Evensen United States
Katharine H. Dixon United States
Xue‐Qun Luo China
Larry W. Brox Canada
Benjamin J. Huang United States
George H. Dover United States
Tonghua Yang China
Long-Jun Gu relative to Silke Lüschen Germany Silke Lüschen's profile →
Citations per field
00.5×2×4×6.8×
Silke Lüschen · 1×
Citations per year

Countries citing papers authored by Long-Jun Gu

Since Specialization
Citations

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

Fields of papers citing papers by Long-Jun Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016271
2 2006187
3 2015135
4 2006125
5 1997112
6 202283
7 201853
8
Resveratrol attenuates hydrogen peroxide-induced apoptosis in human umbilical vein endothelial cells.
201332
9 201427
10 201823
11 201917
12 202116
13 202316
14 199615
15 200514
16 202311
17 201010
18 202210
19 20088
20 20118

About Long-Jun Gu

Long-Jun Gu is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Oncology, Molecular Biology and Genetics, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (14 papers), Acute Myeloid Leukemia Research (11 papers), Retinoids in leukemia and cellular processes (6 papers), CAR-T cell therapy research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Hematopoietic Stem Cell Transplantation (3 papers), Neutropenia and Cancer Infections (3 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). The work is most often cited by research in Hematology (401 citations), Public Health, Environmental and Occupational Health (466 citations), Genetics (85 citations), Oncology (202 citations) and Pediatrics, Perinatology and Child Health (142 citations). Long-Jun Gu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Sai‐Juan Chen, Zhixiang Shen, Hui-liang Xue, Qiuhua Huang, Chen Hui Zhu, Lan Wang, Carlos Caldas, Zhenyi Wang, Ping Liu and Li Gao. Their work appears in journals such as Blood, Pediatric Blood & Cancer, Frontiers of Medicine, Journal of Clinical Oncology 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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