Junjun Ni

103 papers receiving 2.1k citations

Junjun Ni's Hit Papers

Cathepsin B in programmed cell death machinery: mechanisms of execution and regulatory pathways 2023 · 119 citations
1190+1+2Years since publication255075100

Peers

Junjun Ni
Comparison fields: 5 of 109
  • Periodontics 361
  • Biological Psychiatry 152
  • Neurology 370
  • Physiology 587
  • Cancer Research 160
Replace Zhou Wu with:
Zhou Wu Japan
Erica Costantini Italy
Boryana Stamova United States
Kevin J. Washicosky United States
Hae Jeong Park South Korea
William A. Eimer United States
Thangiah Geetha United States
Shu G. Chen United States
Jeganathan Ramesh Babu United States
Hyun-Joo Park South Korea
Junjun Ni relative to Zhou Wu Japan Zhou Wu's profile →
Citations per field
00.5×1.5×
Zhou Wu · 1×
Citations per year

Countries citing papers authored by Junjun Ni

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017195
2
Cathepsin B in programmed cell death machinery: mechanisms of execution and regulatory pathways
Hit paper breakdown →
2023119
3 201592
4 201790
5 202190
6 201986
7 201874
8 202266
9 201359
10 202058
11 201756
12 201853
13 201946
14 202145
15 202239
16 202039
17 202136
18 201936
19 202034
20 202332

About Junjun Ni

Junjun Ni is a scholar working on Molecular Biology, Neurology, Physiology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 111 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (27 papers), Alzheimer's disease research and treatments (19 papers), Immune cells in cancer (6 papers), S100 Proteins and Annexins (6 papers), Oral microbiology and periodontitis research (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Autophagy in Disease and Therapy (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Periodontics (361 citations), Biological Psychiatry (152 citations), Neurology (370 citations), Physiology (587 citations) and Cancer Research (160 citations). Junjun Ni has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Zhou Wu, Hong Qing, Hiroshi Nakanishi, Yicong Liu, Jie Meng, Hiroshi Nakanishi, Yoshinori Hayashi, Jessica L. Teeling, Fei Lan and Fumiko Takayama. Their work appears in journals such as Journal of Alzheimer s Disease, Molecular Neurobiology, Brain Behavior and Immunity, Journal of Neuroinflammation and Oxidative Medicine and Cellular Longevity.

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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