Jing Ni

1.9k citations
38 papers · 1.4k indexed · h-index 18
  • Immunology top 5%
    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 3
    • Immune cells in cancer 3
    • T-cell and B-cell Immunology 3
    • Toxin Mechanisms and Immunotoxins 2
  • Oncology top 10%
    • CAR-T cell therapy research 4
    • Cancer, Hypoxia, and Metabolism 3
  • Nephrology top 10%
    • Periodontal Regeneration and Treatments 3

Jing Ni

37 papers receiving 1.4k citations

Peers

Jing Ni
Comparison fields: 5 of 107
  • Immunology 700
  • Oncology 374
  • Biological Psychiatry 31
  • Cancer Research 125
  • Nephrology 49
Replace Stefano Soldano with:
Stefano Soldano Italy
Mollie Jurewicz United States
Valentina Salvi Italy
Valentin P. Yakubenko United States
Anouk A.J. Hamers Netherlands
Ke Rui China
Kyle Jablonski United States
Tom Doetschman United States
Marjolein van Driel Netherlands
Éva Korpos Germany
Jing Ni relative to Stefano Soldano Italy Stefano Soldano's profile →
Citations per field
00.5×1.7×
Stefano Soldano · 1×
Citations per year

Countries citing papers authored by Jing Ni

Since Specialization
Citations

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

Fields of papers citing papers by Jing Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20234
3 202111
4 20203
5 20202
6 2020218
7 201925
8 201916
9 201863
10 201814
11 201450
12 201426
13 201024
14 20094
15 20094
16 200917
17 200925
18 200955
19 20077
20 20058

About Jing Ni

Jing Ni is a scholar working on General Dentistry, Immunology and Developmental Neuroscience, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (4 papers), Immunotherapy and Immune Responses (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Immune cells in cancer (3 papers), Periodontal Regeneration and Treatments (3 papers), T-cell and B-cell Immunology (3 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Immunology (700 citations), Oncology (374 citations) and Biological Psychiatry (31 citations). Jing Ni has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Adelheid Cerwenka, Ana Stojanovic, Matthias Miller, Natalio Garbi, Annette Arnold, Jens Pahl, Margareta P. Correia, Philippe Fournier, Manuel Winkler and Xi Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental 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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