Yanping Hu

838 citations
19 papers · 509 · h-index 9

Impact in

Papers in

    • CRISPR and Genetic Engineering 3
    • Glycosylation and Glycoproteins Research 2
    • Pluripotent Stem Cells Research 1
    • SARS-CoV-2 and COVID-19 Research 4
    • SARS-CoV-2 detection and testing 2

Yanping Hu

18 papers receiving 498 citations

Peers

Yanping Hu
Comparison fields: 5 of 66
  • Pathology and Forensic Medicine 148
  • Immunology 169
  • Transplantation 12
  • Oncology 119
  • Hematology 37
Replace Iñaki Cervera-Marzal with:
Iñaki Cervera-Marzal France
Valérie Vilmont France
Sweera Rehan Australia
Sabine Hahn Germany
Nobuhiko Imahashi Japan
Bernard Frangoulis France
Magdalena Hagn Australia
Bettina P. Iliopoulou United States
Е. В. Скоробогатова Russia
Jonathan A. Roco Australia
Yanping Hu relative to Iñaki Cervera-Marzal France Iñaki Cervera-Marzal's profile →
Citations per field
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Iñaki Cervera-Marzal · 1×
Citations per year

Countries citing papers authored by Yanping Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yanping Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2009262
2 201063
3 202237
4 202330
5 201124
6 202422
7 202215
8 202212
9 20239
10 20238
11 20187
12 20256
13 20254
14 20233
15 20092
16 20192
17
Spontaneous production of human gamma interferon in vitro by splenic lymphocytes of patients with idiopathic thrombocytopenic purpura.
19842
18 20251
19
Alemtuzumab activity and CD52 expression in human CD52 transgenic mice
20070

About Yanping Hu

Yanping Hu is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Immunology and Oncology, having authored 19 papers that have together received 509 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), CRISPR and Genetic Engineering (3 papers), Glycosylation and Glycoproteins Research (2 papers), SARS-CoV-2 detection and testing (2 papers), Chemokine receptors and signaling (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (148 citations), Immunology (169 citations), Transplantation (12 citations), Oncology (119 citations) and Hematology (37 citations). Yanping Hu has collaborated with scholars based in China, United States and India. Frequent co-authors include Johanne Kaplan, William Siders, Jacqueline D. Shields, Bruce Roberts, Elizabeth Hutto, Wei Li, William Weber, Paula Boutin, Srinivas Shankara and Qi Zhou. Their work appears in journals such as Cell Discovery, Nature Communications, Advanced Science, Emerging Microbes & Infections and Frontiers in Microbiology.

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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