Hongbin Ni

909 citations
34 papers · 739 · h-index 15

Impact in

Papers in

Hongbin Ni

31 papers receiving 731 citations

Peers

Hongbin Ni
Comparison fields: 5 of 91
  • Developmental Neuroscience 55
  • Molecular Medicine 65
  • Cellular and Molecular Neuroscience 224
  • Pathology and Forensic Medicine 201
  • Neurology 71
Replace Weibang Liang with:
Weibang Liang China
Fanqi Kong China
Haoli Wang China
Zipeng Zhou China
Xiuming Guo China
Jeongmin Lee South Korea
Libing Ye China
Hyemin Choi South Korea
Hormoz Ayromlou Iran
Jianyang Liu China
Hongbin Ni relative to Weibang Liang China Weibang Liang's profile →
Citations per field
00.5×1.5×1.9×
Weibang Liang · 1×
Citations per year

Countries citing papers authored by Hongbin Ni

Since Specialization
Citations

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

Fields of papers citing papers by Hongbin Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010110
2 201493
3 201060
4 201151
5 202246
6 201444
7 201043
8 201734
9 201430
10 201830
11
Erythropoietin prevents secondary brain injury induced by cortical lesion in mice: possible involvement of Nrf2 signaling pathway.
201127
12 201419
13 201119
14 201716
15
Tert-butylhydroquinone protects the spinal cord against inflammatory response produced by spinal cord injury.
201416
16 201312
17 201911
18 201111
19
The Promotion of Neural Regeneration in A Rat Facial Nerve Crush Injury Model Using Collagen-Binding NT-3.
20169
20 20248

About Hongbin Ni

Hongbin Ni is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience, Immunology and Surgery, having authored 34 papers that have together received 739 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (7 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Nerve injury and regeneration (3 papers), Tendon Structure and Treatment (3 papers), Diet and metabolism studies (3 papers), Pregnancy-related medical research (3 papers), Erythropoietin and Anemia Treatment (3 papers) and Nuclear Receptors and Signaling (3 papers). The work is most often cited by research in Developmental Neuroscience (55 citations), Molecular Medicine (65 citations), Cellular and Molecular Neuroscience (224 citations), Pathology and Forensic Medicine (201 citations) and Neurology (71 citations). Hongbin Ni has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Wei Jin, Weibang Liang, Jian Jiang, Jie Kong, Jun Wu, Tiansheng Zhu, Baoyu Yuan, Handong Wang, Tianyu Lu and Jing Wang. Their work appears in journals such as Biomaterials, Inflammation Research, Scientific Reports, World Neurosurgery and Injury.

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