Fangfang Wang

54 total papers · 810 total citations
30 papers, 606 citations indexed

About

Fangfang Wang is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Fangfang Wang has authored 30 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hematology, 12 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Fangfang Wang's work include Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (6 papers) and Acute Myeloid Leukemia Research (5 papers). Fangfang Wang is often cited by papers focused on Multiple Myeloma Research and Treatments (7 papers), Protein Degradation and Inhibitors (6 papers) and Acute Myeloid Leukemia Research (5 papers). Fangfang Wang collaborates with scholars based in China, United States and Czechia. Fangfang Wang's co-authors include Bingyang Chu, Zhiyong Qian, Ying Qu, Danrong Hu, Yun Yang, Ting Liu, Chengli Yang, Ying Hao, Xinlong He and Mengyao Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and Biochemical Journal.

In The Last Decade

Fangfang Wang

29 papers receiving 603 citations

Author Peers

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

Author Last Decade Papers Cites
Fangfang Wang 280 221 155 141 119 30 606
Asiri Ediriwickrema 235 0.8× 142 0.6× 119 0.8× 171 1.2× 72 0.6× 22 620
Lan Sun 226 0.8× 131 0.6× 106 0.7× 72 0.5× 88 0.7× 32 607
Yanru Xue 251 0.9× 105 0.5× 82 0.5× 77 0.5× 107 0.9× 33 632
Yanyan Li 258 0.9× 94 0.4× 48 0.3× 168 1.2× 54 0.5× 36 657
Ziwei Liao 305 1.1× 185 0.8× 239 1.5× 42 0.3× 114 1.0× 25 625
Tessa M. Simone 305 1.1× 79 0.4× 99 0.6× 68 0.5× 86 0.7× 20 604
Nilesh Deshpande 179 0.6× 97 0.4× 107 0.7× 141 1.0× 49 0.4× 43 622
Derek Reichel 204 0.7× 203 0.9× 180 1.2× 48 0.3× 45 0.4× 18 503
Fangjing Wang 183 0.7× 130 0.6× 85 0.5× 62 0.4× 100 0.8× 21 665
Bobe Petrushev 308 1.1× 75 0.3× 97 0.6× 63 0.4× 161 1.4× 51 685

Countries citing papers authored by Fangfang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fangfang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfang Wang

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