Ranran Wang

98 total papers · 2.9k total citations
64 papers, 2.0k citations indexed

About

Ranran Wang is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ranran Wang has authored 64 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ranran Wang's work include Ubiquitin and proteasome pathways (8 papers), Cancer-related molecular mechanisms research (5 papers) and Protein Degradation and Inhibitors (5 papers). Ranran Wang is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Cancer-related molecular mechanisms research (5 papers) and Protein Degradation and Inhibitors (5 papers). Ranran Wang collaborates with scholars based in China, United States and Finland. Ranran Wang's co-authors include Jianxin You, Yuanbo Zhu, Wenying Fan, Xing Yang, Bing–Qiao Zhao, Lijing Kang, Mei-Juan Shi, Yongliang Cao, Huilin Yu and Xiaofei Bai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ranran Wang

61 papers receiving 2.0k citations

Hit Papers

Neutrophil extracellular ... 2020 2026 2022 2024 2020 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Ranran Wang 999 423 270 180 178 64 2.0k
Nobuo Tsuruoka 707 0.7× 502 1.2× 161 0.6× 361 2.0× 139 0.8× 67 2.5k
Ping He 971 1.0× 247 0.6× 112 0.4× 197 1.1× 158 0.9× 95 2.1k
Hua Zhou 1.0k 1.0× 333 0.8× 158 0.6× 490 2.7× 124 0.7× 79 2.4k
Majed Dasouki 1.4k 1.4× 272 0.6× 89 0.3× 138 0.8× 264 1.5× 90 2.7k
Ana‐Maria Enciu 646 0.6× 198 0.5× 175 0.6× 189 1.1× 150 0.8× 54 1.9k
Massimo Alessio 1.0k 1.0× 651 1.5× 265 1.0× 340 1.9× 98 0.6× 82 2.8k
Jiajia Wang 1.2k 1.2× 444 1.0× 171 0.6× 230 1.3× 243 1.4× 117 2.5k
Philippe Poindron 1.0k 1.0× 624 1.5× 150 0.6× 210 1.2× 68 0.4× 101 2.6k
Álex Sánchez‐Pla 1.2k 1.2× 436 1.0× 105 0.4× 255 1.4× 170 1.0× 102 2.7k
Usha Ponnappan 968 1.0× 672 1.6× 171 0.6× 202 1.1× 121 0.7× 50 2.3k

Countries citing papers authored by Ranran Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ranran Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ranran Wang

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