Yiqing Chi

1.1k citations
16 papers · 933 indexed · h-index 13

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Protease and Inhibitor Mechanisms
    • NF-κB Signaling Pathways

Papers in

Yiqing Chi

16 papers receiving 913 citations

Peers

Yiqing Chi
Comparison fields: 5 of 81
  • Hematology 280
  • Cancer Research 139
  • Molecular Biology 555
  • Dermatology 64
  • Immunology and Allergy 43
Replace Leo Albert with:
Leo Albert United States
Meena Sharma United States
Karlfried R. Aupperle United States
Zhihui Min China
Jean‐Dominique Guitton France
George Tuszynski United States
Soňa Hubáčková Czechia
Marcia Pessah France
Junichi Furuta Japan
L-J Gu China
Yiqing Chi relative to Leo Albert United States Leo Albert's profile →
Citations per field
00.5×3.6×
Leo Albert · 1×
Citations per year

Countries citing papers authored by Yiqing Chi

Since Specialization
Citations

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

Fields of papers citing papers by Yiqing Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201416
2 200833
3 200832
4 200719
5 200570
6 20052
7 2004147
8 20049
9 200336
10 200252
11 200181
12 200134
13 2000176
14 1999202
15 199912
16 199812

About Yiqing Chi

Yiqing Chi is a scholar working on Hematology, Dermatology, Cancer Research, Genetics and Immunology and Allergy, having authored 16 papers that have together received 933 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Ubiquitin and proteasome pathways (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Protease and Inhibitor Mechanisms (2 papers), Neurological diseases and metabolism (1 paper), Nail Diseases and Treatments (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Hematology (280 citations), Cancer Research (139 citations), Molecular Biology (555 citations), Dermatology (64 citations) and Immunology and Allergy (43 citations). Yiqing Chi has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Mary E. Zeigler, James Varani, Tanja Schmidt, Giuseppina Nucifora, Soumen Chakraborty, Vitalyi Senyuk, Jack H. Kaplan, Rui Zhao, John F. Eisses and Harrihar A. Pershadsingh. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation, Archives of Pathology & Laboratory Medicine, Journal of Cellular Physiology and Lung Cancer.

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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