Chang Su

95 total papers · 1.7k total citations
56 papers, 1.2k citations indexed

About

Chang Su is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Chang Su has authored 56 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 14 papers in Oncology and 11 papers in Hematology. Recurrent topics in Chang Su's work include Multiple Myeloma Research and Treatments (9 papers), Cancer-related molecular mechanisms research (4 papers) and Angiogenesis and VEGF in Cancer (3 papers). Chang Su is often cited by papers focused on Multiple Myeloma Research and Treatments (9 papers), Cancer-related molecular mechanisms research (4 papers) and Angiogenesis and VEGF in Cancer (3 papers). Chang Su collaborates with scholars based in China, United States and Hong Kong. Chang Su's co-authors include Yiou Cao, Kurt Hollfelder, Pei‐Ling Chi, Peter Ping Lin, A S Stern, Y C Pan, Ueli Gubler, Maurice K. Gately, J Hakimi and Jianwen Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLANT PHYSIOLOGY.

In The Last Decade

Chang Su

52 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Chang Su 598 361 303 226 115 56 1.2k
Cynthia R. Giver 596 1.0× 342 0.9× 171 0.6× 255 1.1× 73 0.6× 49 1.2k
Yuanyuan Feng 795 1.3× 274 0.8× 344 1.1× 269 1.2× 57 0.5× 61 1.3k
Hanna Rokita 728 1.2× 435 1.2× 190 0.6× 316 1.4× 149 1.3× 68 1.4k
Xiaoqi Wang 893 1.5× 314 0.9× 248 0.8× 243 1.1× 73 0.6× 63 1.4k
Feng Xu 489 0.8× 312 0.9× 221 0.7× 359 1.6× 107 0.9× 58 1.1k
Sabine Waigel 758 1.3× 252 0.7× 362 1.2× 211 0.9× 154 1.3× 36 1.3k
Wei Zhang 513 0.9× 158 0.4× 282 0.9× 245 1.1× 97 0.8× 51 1.0k
S W Tsao 733 1.2× 225 0.6× 210 0.7× 294 1.3× 82 0.7× 42 1.3k
Gang Li 626 1.0× 262 0.7× 382 1.3× 128 0.6× 109 0.9× 38 1.1k
Rika Ouchida 584 1.0× 410 1.1× 181 0.6× 186 0.8× 106 0.9× 31 1.1k

Countries citing papers authored by Chang Su

Since Specialization
Citations

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

Fields of papers citing papers by Chang Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chang Su. A scholar is included among the top collaborators of Chang Su 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 Chang Su. Chang Su 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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