Haiyong Peng

3.3k citations
47 papers · 2.1k indexed · 1 hit paper · h-index 19
Topics
Monoclonal and Polyclonal Antibodies Research (23 papers)Glycosylation and Glycoproteins Research (11 papers)CAR-T cell therapy research (11 papers)

In The Last Decade

Haiyong Peng

46 papers receiving 2.1k citations

Hit Papers

SARS-CoV-2 spike-protein D614G mutation increases virion ...20202026202220242020200400600

Peers

Haiyong Peng
Comparison fields: 5 of 114
  • Molecular Biology 1.1k
  • Infectious Diseases 641
  • Cancer Research 414
  • Oncology 375
  • Immunology 248
Replace Min Ni with:
Min Ni United States
Kailin Yang United States
Aliaksandr A. Yarmishyn Taiwan
Huizhe Huang China
Subrata Sinha India
Rubén Hernández-Alcoceba Spain
Yibang Chen United States
Gangqiao Zhou China
Keng‐Hsin Lan Taiwan
Chi Hang Wong Hong Kong
Haiyong Peng relative to Min Ni United States Min Ni's profile →
Citations per field
00.5×3.2×
Min Ni · 1×
Citations per year

Countries citing papers authored by Haiyong Peng

Since Specialization
Citations

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

Fields of papers citing papers by Haiyong Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyong Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyong Peng. A scholar is included among the top collaborators of Haiyong Peng 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 Haiyong Peng. Haiyong Peng 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 0
2 9
3 4
4 5
5 6
6 2
7 22
8 1
9 34
10 7
11 22
12
SARS-CoV-2 spike-protein D614G mutation increases virion spike density and infectivitybreakdown →
662
13 62
14 58
15 40
16 1
17 11
18 8
19 33
20 13

About Haiyong Peng

Haiyong Peng is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Oncology, having authored 47 papers that have together received 2.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (23 papers), Glycosylation and Glycoproteins Research (11 papers) and CAR-T cell therapy research (11 papers). The work is most often cited by research in Infectious Diseases (641 citations), Cancer Research (414 citations) and Molecular Biology (1.1k citations). Haiyong Peng has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Christoph Rader, Hongbing Zhang, Lizhou Zhang, Michael Farzan, Brian D. Quinlan, Hyeryun Choe, Huihui Mou, Mehul S. Suthar, Erumbi S. Rangarajan and Abigail Vanderheiden. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

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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