Long-Jun Gu

1.5k citations
59 papers · 700 indexed · h-index 11

Impact in

Papers in

Long-Jun Gu

57 papers receiving 691 citations

Peers

Long-Jun Gu
Comparison fields: 5 of 86
  • Hematology 240
  • Public Health, Environmental and Occupational Health 184
  • Pharmacology 53
  • Molecular Biology 401
  • Genetics 45
Replace Ashis Mukhopadhyay with:
Ashis Mukhopadhyay India
G Deb Italy
Louise F. Momparler Canada
Jiali Si United States
Qiao‐Yang Sun Singapore
ZY Wang China
Meng Ding China
Huyong Zheng China
Iwona Mitrus Poland
Jared Wallace United States
Long-Jun Gu relative to Ashis Mukhopadhyay India Ashis Mukhopadhyay's profile →
Citations per field
00.5×4.1×
Ashis Mukhopadhyay · 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 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006183
2 1997108
3 2006105
4 201846
5
Resveratrol attenuates hydrogen peroxide-induced apoptosis in human umbilical vein endothelial cells.
201331
6 201424
7 201822
8 200514
9 202314
10 201914
11 199612
12 202110
13 20088
14 20228
15 20108
16 20117
17 19936
18
[Failure of treatment and protocol compliance in patients with acute lymphoblastic leukemia].
20055
19 20035
20 20235

About Long-Jun Gu

Long-Jun Gu is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Emergency Medicine, Oncology and Genetics, having authored 59 papers that have together received 700 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (25 papers), Acute Myeloid Leukemia Research (21 papers), Childhood Cancer Survivors' Quality of Life (7 papers), Retinoids in leukemia and cellular processes (6 papers), Neutropenia and Cancer Infections (6 papers), Hematological disorders and diagnostics (5 papers), Hematopoietic Stem Cell Transplantation (5 papers) and Chronic Myeloid Leukemia Treatments (5 papers). The work is most often cited by research in Hematology (240 citations), Public Health, Environmental and Occupational Health (184 citations), Pharmacology (53 citations), Molecular Biology (401 citations) and Genetics (45 citations). Long-Jun Gu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Sai‐Juan Chen, Hui-liang Xue, Zhixiang Shen, Qiuhua Huang, Carlos Caldas, Leanne M. Wiedemann, Chi Wai Eric So, MH Sham, Li Chong Chan and Chen Zhu. Their work appears in journals such as Blood, Pediatric Blood & Cancer, Journal of Molecular Neuroscience, Cancer Research and Treatment and Clinical Cancer 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026