Nina Chu

1.1k citations
23 papers · 860 indexed · h-index 13
Topics
Immunotherapy and Immune Responses (6 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Cervical Cancer and HPV Research (4 papers)

In The Last Decade

Nina Chu

23 papers receiving 836 citations

Peers

Nina Chu
Comparison fields: 5 of 82
  • Immunology 526
  • Epidemiology 183
  • Molecular Biology 181
  • Oncology 158
  • Genetics 102
Replace Geoffrey Camirand with:
Geoffrey Camirand United States
Masahiro Morimoto Japan
Stéphanie Fabre France
Michael G. Strainic United States
Tracey Toy Australia
Bjarke Endel Hansen Denmark
Anagha Divekar United States
Christopher Piercy United States
Vadim Budagian Germany
Robert Tacke United States
Nina Chu relative to Geoffrey Camirand United States Geoffrey Camirand's profile →
Citations per field
00.5×1.5×1.9×
Geoffrey Camirand · 1×
Citations per year

Countries citing papers authored by Nina Chu

Since Specialization
Citations

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

Fields of papers citing papers by Nina Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Chu. A scholar is included among the top collaborators of Nina Chu 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 Nina Chu. Nina Chu 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
#WorkIndexed citations
1 7
2
Role of comprehensive nursing care in improving the prognosis and mood of patients with secondary cerebral infarction after craniocerebral injury.
3
3 1
4 8
5 10
6 17
7 22
8 28
9
CoVal fusions: a therapeutic vaccine platform using heat shock proteins to treat chronic viral infection and cancer.
2
10 13
11 36
12 146
13 28
14 61
15 145
16 1
17 203
18 12
19 1
20 2

About Nina Chu

Nina Chu is a scholar working on Immunology, Immunology and Allergy and Neurology, having authored 23 papers that have together received 860 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Cervical Cancer and HPV Research (4 papers). The work is most often cited by research in Immunology (526 citations), Immunology and Allergy (48 citations) and Rheumatology (93 citations). Nina Chu has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Lee Mizzen, Tania H. Watts, Mark DeBenedette, Fionula M. Brennan, Andrew P. Cope, Marc Feldmann, Marvín I. Siegel, T.‐C. Wu, Marco Londei and Ravinder N. Maini. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

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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