Juan Li

314 total papers · 3.2k total citations
161 papers, 2.0k citations indexed

About

Juan Li is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Juan Li has authored 161 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Hematology, 55 papers in Molecular Biology and 53 papers in Oncology. Recurrent topics in Juan Li's work include Multiple Myeloma Research and Treatments (39 papers), Protein Degradation and Inhibitors (16 papers) and Peptidase Inhibition and Analysis (12 papers). Juan Li is often cited by papers focused on Multiple Myeloma Research and Treatments (39 papers), Protein Degradation and Inhibitors (16 papers) and Peptidase Inhibition and Analysis (12 papers). Juan Li collaborates with scholars based in China, United States and United Kingdom. Juan Li's co-authors include Junru Liu, Beihui Huang, Jie Wang, Alireza R. Rezaie, Lili Yang, Wen Li, Jie Bai, Yu‐Shui Ma, Jing Deng and Da Fu and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Juan Li

143 papers receiving 1.9k citations

Hit Papers

Liquid biopsy in lung can... 2022 2026 2023 2024 2022 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Juan Li 954 501 403 384 228 161 2.0k
Dapeng Wu 902 0.9× 419 0.8× 481 1.2× 248 0.6× 304 1.3× 88 1.8k
Vittorio Simeon 977 1.0× 452 0.9× 295 0.7× 266 0.7× 206 0.9× 106 2.2k
Khalid Amin 767 0.8× 347 0.7× 418 1.0× 503 1.3× 239 1.0× 114 2.2k
Hui Huang 869 0.9× 268 0.5× 316 0.8× 408 1.1× 267 1.2× 187 2.7k
Sinéad Toomey 709 0.7× 241 0.5× 490 1.2× 301 0.8× 252 1.1× 66 2.0k
J. J. Fennelly 670 0.7× 771 1.5× 726 1.8× 271 0.7× 190 0.8× 86 2.1k
Michael Medinger 925 1.0× 312 0.6× 733 1.8× 722 1.9× 359 1.6× 106 2.2k
Ying Huang 1.5k 1.6× 398 0.8× 216 0.5× 341 0.9× 140 0.6× 124 2.5k
Fang Liu 746 0.8× 332 0.7× 732 1.8× 154 0.4× 287 1.3× 113 2.1k
Xuefeng Wang 841 0.9× 309 0.6× 660 1.6× 239 0.6× 247 1.1× 179 2.3k

Countries citing papers authored by Juan Li

Since Specialization
Citations

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

Fields of papers citing papers by Juan Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Li

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