Qi He

2.8k total citations
76 papers, 2.3k citations indexed

About

Qi He is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Qi He has authored 76 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Hematology and 13 papers in Immunology. Recurrent topics in Qi He's work include Acute Myeloid Leukemia Research (12 papers), Hepatitis C virus research (8 papers) and Hepatitis B Virus Studies (6 papers). Qi He is often cited by papers focused on Acute Myeloid Leukemia Research (12 papers), Hepatitis C virus research (8 papers) and Hepatitis B Virus Studies (6 papers). Qi He collaborates with scholars based in China, United States and Egypt. Qi He's co-authors include Margaret James Koziel, Jayne Lesley, Robert Hyman, P W Kincade, Sanaa M. Kamal, J. Rasenack, Camilla S. Graham, Nezam H. Afdhal, Kensuke Miyake and Alf Hamann and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Qi He

69 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qi He China 23 627 573 563 553 443 76 2.3k
B. Voß Germany 23 274 0.4× 225 0.4× 234 0.4× 1.5k 2.8× 547 1.2× 80 2.9k
David W. Griggs United States 22 249 0.4× 250 0.4× 336 0.6× 993 1.8× 266 0.6× 39 2.5k
Frank A. Schildberg Germany 26 332 0.5× 433 0.8× 1.4k 2.5× 857 1.5× 80 0.2× 107 3.2k
Paraskevi Heldin Sweden 40 131 0.2× 128 0.2× 261 0.5× 2.8k 5.0× 2.9k 6.6× 88 4.6k
A. Facchini Italy 31 142 0.2× 353 0.6× 787 1.4× 481 0.9× 105 0.2× 127 2.6k
J.A. Grimaud France 21 292 0.5× 449 0.8× 176 0.3× 394 0.7× 292 0.7× 50 1.5k
Buqing Ye China 29 69 0.1× 376 0.7× 906 1.6× 2.5k 4.5× 195 0.4× 50 3.7k
J. Rosenbloom United States 26 74 0.1× 128 0.2× 255 0.5× 965 1.7× 322 0.7× 45 2.6k
Akira Asari Japan 18 225 0.4× 41 0.1× 141 0.3× 901 1.6× 1.1k 2.5× 29 2.1k
Fumio Fukai Japan 25 54 0.1× 138 0.2× 798 1.4× 704 1.3× 277 0.6× 94 2.7k

Countries citing papers authored by Qi He

Since Specialization
Citations

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

Fields of papers citing papers by Qi He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi He

This figure shows the co-authorship network connecting the top 25 collaborators of Qi He. A scholar is included among the top collaborators of Qi He 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 Qi He. Qi He 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
1.
Wu, Lingyun, et al.. (2025). Characteristics and prognostic implications of TP53 mutations in Chinese patients with myelodysplastic syndromes. British Journal of Haematology. 207(4). 1397–1407.
2.
3.
Wang, Xin-Nian, Qi He, Feng Li, et al.. (2025). Cajanus cajan (L.) Millsp. Leaves: A Comprehensive Review of Phytochemistry, Pharmacological Properties, Safety, and Clinical Applications. Chemistry & Biodiversity. 22(8). e202500137–e202500137. 2 indexed citations
4.
Guo, Juan, Sida Zhao, Lei Shi, et al.. (2024). Eltrombopag restores proliferative capacity and adipose-osteogenic balance of mesenchymal stromal cells in low-risk myelodysplastic syndromes. European Journal of Pharmacology. 985. 177086–177086.
5.
Zhang, Yan, Jianghua Wang, Xiaoying Xu, et al.. (2021). Synergism therapeutic and immunoregulatory effects of Albendazole + rAd-mIL-28B against Echinococcosis in experiment-infected mice with protoscoleces. PLoS neglected tropical diseases. 15(11). e0009927–e0009927. 1 indexed citations
6.
Kang, Kai, et al.. (2021). FGF21 ameliorates hepatic fibrosis by multiple mechanisms. Molecular Biology Reports. 48(11). 7153–7163. 18 indexed citations
7.
Chen, Chong, Yanping Luo, Xiaoying Xu, et al.. (2020). The immunotherapy with hMASP-2 DNA nanolipoplexes against echinococcosis in experimentally protoscolex-infected mice. Acta Tropica. 210. 105579–105579. 4 indexed citations
8.
9.
He, Qi, et al.. (2015). Functional Analysis of Actin-Binding Proteins in the Central Nervous System of Drosophila. Methods in molecular biology. 1365. 349–355. 2 indexed citations
10.
Song, Luxi, Juan Guo, Qi He, et al.. (2012). Bone Marrow Mesenchymal Stem Cells in Myelodysplastic Syndromes: Cytogenetic Characterization. Acta Haematologica. 128(3). 170–177. 4 indexed citations
11.
Bryan, Darren S., John G. Carson, Qi He, et al.. (2012). Natural History of Carotid Artery Occlusion. Annals of Vascular Surgery. 27(2). 186–193. 22 indexed citations
12.
He, Qi. (2010). The alliinase and lachrymatory factor synthase systems in Petiveria alliacea. Scholars Archive - University at Albany (University at Albany, State University of New York). 2 indexed citations
13.
Xiao, Li, et al.. (2007). Differentiation and hematopoietic-support of clonal cells in myelodysplastic syndromes. Leukemia & lymphoma. 48(7). 1353–1371. 7 indexed citations
14.
He, Qi, Camilla S. Graham, Emanuele Durante‐Mangoni, & Margaret James Koziel. (2006). Differential expression of toll‐like receptor mRNA in treatment non‐responders and sustained virologic responders at baseline in patients with chronic hepatitis C. Liver International. 26(9). 1100–1110. 28 indexed citations
15.
Alatrakchi, Nadia, Camilla S. Graham, Qi He, Kenneth E. Sherman, & Margaret James Koziel. (2005). CD8+Cell Responses to Hepatitis C Virus (HCV) in the Liver of Persons with HCV‐HIV Coinfection versus HCV Monoinfection. The Journal of Infectious Diseases. 191(5). 702–709. 35 indexed citations
16.
Durante‐Mangoni, Emanuele, Ruojie Wang, Angela Shaulov, et al.. (2004). Hepatic CD1d Expression in Hepatitis C Virus Infection and Recognition by Resident Proinflammatory CD1d-Reactive T Cells. The Journal of Immunology. 173(3). 2159–2166. 106 indexed citations
17.
Kamal, Sanaa M., Alaa Ismail, Camilla S. Graham, et al.. (2004). Pegylated interferon α therapy in acute hepatitis C: Relation to hepatitis C virus-specific T cell response kinetics. Hepatology. 39(6). 1721–1731. 127 indexed citations
18.
Exley, Mark A., et al.. (2002). Cutting Edge: Compartmentalization of Th1-Like Noninvariant CD1d-Reactive T Cells in Hepatitis C Virus-Infected Liver. The Journal of Immunology. 168(4). 1519–1523. 113 indexed citations
19.
Spiro, Mary Jane, et al.. (1995). Effect of high glucose on formation of extracellular matrix components by cultured rat heart endothelial cells. Diabetologia. 38(4). 430–436. 21 indexed citations
20.
Lesley, Jayne, Qi He, Kensuke Miyake, et al.. (1992). Requirements for hyaluronic acid binding by CD44: a role for the cytoplasmic domain and activation by antibody.. The Journal of Experimental Medicine. 175(1). 257–266. 230 indexed citations

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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