Helong Zhao

1.4k citations
23 papers · 712 indexed · h-index 11
Topics
Chronic Myeloid Leukemia Treatments (5 papers)Axon Guidance and Neuronal Signaling (4 papers)S100 Proteins and Annexins (4 papers)
Journals
SHILAP Revista de lepidopterologíaBloodThe Journal of Immunology

In The Last Decade

Helong Zhao

22 papers receiving 709 citations

Peers

Helong Zhao
Comparison fields: 5 of 88
  • Molecular Biology 342
  • Immunology 172
  • Oncology 166
  • Pharmacology 149
  • Cancer Research 128
Replace Minchan Gil with:
Minchan Gil South Korea
Xianghong Zou United States
Kenneth Cheung Hong Kong
Yoon Kyung Jo South Korea
Lorena Esteban‐Martínez Spain
Ben‐Kuen Chen Taiwan
Laura Ciarlo Italy
Zhiyuan You China
Wenning Qin United States
Helong Zhao relative to Minchan Gil South Korea Minchan Gil's profile →
Citations per field
00.5×1.5×1.8×
Minchan Gil · 1×
Citations per year

Countries citing papers authored by Helong Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Helong Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helong Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Helong Zhao. A scholar is included among the top collaborators of Helong Zhao 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 Helong Zhao. Helong Zhao 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 1
4 1
5 1
6 3
7 5
8 21
9 3
10 19
11 6
12 32
13 124
14
Roles of Slit-Robo Signaling in Pathogenesis of Multiple Human Diseases: HIV-1 Infection, Vascular Endothelial Inflammation and Breast Cancer
1
15 181
16 21
17 33
18 97
19 27
20 4

About Helong Zhao

Helong Zhao is a scholar working on Hematology, Genetics and Geriatrics and Gerontology, having authored 23 papers that have together received 712 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (5 papers), Axon Guidance and Neuronal Signaling (4 papers) and S100 Proteins and Annexins (4 papers). The work is most often cited by research in Pharmacology (149 citations), Cancer Research (128 citations) and Immunology (172 citations). Helong Zhao has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Ramesh K. Ganju, Mohd W. Nasser, Dinesh K. Ahirwar, Konstantin Shilo, Nissar Ahmad Wani, Appakkudal R. Anand, Mohamad Elbaz, William E. Carson, Janani Ravi and Abhay R. Satoskar. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.

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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