Haiyun Cheng

1.1k total citations
12 papers, 944 citations indexed

About

Haiyun Cheng is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Haiyun Cheng has authored 12 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Hematology. Recurrent topics in Haiyun Cheng's work include Cytokine Signaling Pathways and Interactions (4 papers), Acute Myeloid Leukemia Research (2 papers) and Cancer Mechanisms and Therapy (2 papers). Haiyun Cheng is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), Acute Myeloid Leukemia Research (2 papers) and Cancer Mechanisms and Therapy (2 papers). Haiyun Cheng collaborates with scholars based in United States and China. Haiyun Cheng's co-authors include Thomas E. Smithgall, E. Ramsay Camp, Fan Fan, Wenbiao Liu, Ray Somcio, Lee M. Ellis, Paulo M. Hoff, George Van Buren, Michael J. Gray and Anthony D. Yang and has published in prestigious journals such as Molecular and Cellular Biology, Oncogene and Clinical Cancer Research.

In The Last Decade

Haiyun Cheng

12 papers receiving 936 citations

Peers

Haiyun Cheng
Comparison fields: 5 of 78
  • Molecular Biology 568
  • Oncology 472
  • Cancer Research 193
  • Immunology 123
  • Pathology and Forensic Medicine 111
Replace Van S. Tompkins with:
Van S. Tompkins United States
Sujatha Jagadeeswaran United States
Eun Goo Jeong South Korea
Ana Slipicevic Norway
Gabriëla Wright United States
Gaynor Davies United Kingdom
Vanessa Baeriswyl Switzerland
Murray J. Towle United States
Angelina I. Londoño-Joshi United States
Nilamani Jena United States
Van S. Tompkins United States View profile →
Citations per field, relative to Haiyun Cheng
Haiyun Cheng · 1×
Citations per year, relative to Haiyun Cheng
Haiyun Cheng · 1×

Countries citing papers authored by Haiyun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Haiyun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyun Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyun Cheng. A scholar is included among the top collaborators of Haiyun Cheng 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 Haiyun Cheng. Haiyun Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 1
2 3
3 5
4 42
5 442
6 53
7 51
8
Identification and characterization of signal transducer and activator of transcription 3 recruitment sites within the epidermal growth factor receptor.
110
9 36
10 114
11 32
12 55

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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2026