Sujiang Zhang

163 total papers · 1.2k total citations
62 papers, 697 citations indexed

About

Sujiang Zhang is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Sujiang Zhang has authored 62 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Hematology, 27 papers in Genetics and 16 papers in Molecular Biology. Recurrent topics in Sujiang Zhang's work include Acute Myeloid Leukemia Research (32 papers), Chronic Myeloid Leukemia Treatments (23 papers) and Chronic Lymphocytic Leukemia Research (14 papers). Sujiang Zhang is often cited by papers focused on Acute Myeloid Leukemia Research (32 papers), Chronic Myeloid Leukemia Treatments (23 papers) and Chronic Lymphocytic Leukemia Research (14 papers). Sujiang Zhang collaborates with scholars based in China and United States. Sujiang Zhang's co-authors include Jianyong Li, Chun Qiao, Sixuan Qian, Jingyi Shi, Hai‐Rong Qiu, Bai-Wei Gu, Kourong Miao, Xiao‐Dong Gao, Sai‐Juan Chen and Wei Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Sujiang Zhang

55 papers receiving 691 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sujiang Zhang 369 323 221 146 113 62 697
Chung Hoow Kok 451 1.2× 336 1.0× 245 1.1× 152 1.0× 72 0.6× 68 792
Marie Jarošová 316 0.9× 249 0.8× 299 1.4× 129 0.9× 86 0.8× 86 720
Cristina Panuzzo 311 0.8× 395 1.2× 169 0.8× 120 0.8× 89 0.8× 47 632
Maher Albitar 305 0.8× 321 1.0× 287 1.3× 214 1.5× 110 1.0× 48 781
Talha Badar 367 1.0× 217 0.7× 184 0.8× 158 1.1× 64 0.6× 101 614
Carlos E. Vigil 328 0.9× 252 0.8× 143 0.6× 255 1.7× 113 1.0× 47 779
Kunitake Hirashima 410 1.1× 218 0.7× 113 0.5× 126 0.9× 65 0.6× 44 698
Yu Jing 438 1.2× 299 0.9× 125 0.6× 92 0.6× 135 1.2× 74 663
Jinlan Pan 367 1.0× 234 0.7× 175 0.8× 68 0.5× 63 0.6× 104 601
Nicoletta Coccaro 318 0.9× 302 0.9× 199 0.9× 100 0.7× 184 1.6× 50 712

Countries citing papers authored by Sujiang Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Sujiang Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujiang Zhang

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

All Works

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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