Nu Zhang

4.1k total citations · 1 hit paper
51 papers, 3.0k citations indexed

About

Nu Zhang is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Nu Zhang has authored 51 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Immunology, 10 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Nu Zhang's work include Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (20 papers) and Immunotherapy and Immune Responses (14 papers). Nu Zhang is often cited by papers focused on Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (20 papers) and Immunotherapy and Immune Responses (14 papers). Nu Zhang collaborates with scholars based in United States, China and Poland. Nu Zhang's co-authors include Michael J. Bevan, You‐Wen He, Chaoyu Ma, Ivan Dzhagalov, Shruti Mishra, Yong Liu, Heather Hartig, David E. Draper, You-Wen He and Saranya Srinivasan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Nu Zhang

49 papers receiving 3.0k citations

Hit Papers

CD8+ T Cells: Foot Soldiers of the Immune System 2011 2026 2016 2021 2011 250 500 750

Peers

Nu Zhang
Comparison fields: 5 of 111
  • Immunology 2.0k
  • Molecular Biology 773
  • Oncology 648
  • Epidemiology 361
  • Infectious Diseases 272
Replace Sara Gasperini with:
Sara Gasperini Italy
Susanne Rößner Germany
Samer Kayal France
Karine Serre Portugal
Grégoire Lauvau United States
Patrizia Stoitzner Austria
Sven Burgdorf Germany
Jean‐Jacques Pin France
Alexandra Ogilvie Germany
Derk Amsen Netherlands
Sara Gasperini Italy View profile →
Citations per field, relative to Nu Zhang
Nu Zhang · 1×
Citations per year, relative to Nu Zhang
Nu Zhang · 1×

Countries citing papers authored by Nu Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Nu Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nu Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Nu Zhang. A scholar is included among the top collaborators of Nu Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nu Zhang. Nu Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 14
2 2
3 1
4 3
5 14
6 25
7 19
8 9
9 14
10 44
11 67
12 46
13 90
14 91
15 97
16 97
17 26
18 23
19 42
20 11

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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