Zhen Cai

59 total papers · 1.3k total citations
21 papers, 947 citations indexed

About

Zhen Cai is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Zhen Cai has authored 21 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Hematology and 5 papers in Immunology. Recurrent topics in Zhen Cai's work include Ubiquitin and proteasome pathways (8 papers), Multiple Myeloma Research and Treatments (6 papers) and Protein Degradation and Inhibitors (5 papers). Zhen Cai is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Multiple Myeloma Research and Treatments (6 papers) and Protein Degradation and Inhibitors (5 papers). Zhen Cai collaborates with scholars based in China, United States and Taiwan. Zhen Cai's co-authors include Asad Moten, Hui‐Kuan Lin, Guoxiang Jin, Chien‐Feng Li, Dazhi Xu, John Kenneth Morrow, Mien‐Chie Hung, Shuxing Zhang, John E. Ladbury and Loren Stagg and has published in prestigious journals such as Cell, SHILAP Revista de lepidopterología and British Journal of Cancer.

In The Last Decade

Zhen Cai

18 papers receiving 939 citations

Author Peers

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

Author						Papers	Cites
Zhen Cai	722	299	131	107	93	21	947
Krishan Kumar	741 1.0×	377 1.3×	158 1.2×	78 0.7×	62 0.7×	26	1.0k
Venturina Stagni	684 0.9×	289 1.0×	126 1.0×	116 1.1×	140 1.5×	26	860
Quanhong Sun	597 0.8×	264 0.9×	163 1.2×	109 1.0×	65 0.7×	28	934
Alena Malyukova	669 0.9×	196 0.7×	152 1.2×	190 1.8×	77 0.8×	19	823
Liz J. Valente	676 0.9×	441 1.5×	180 1.4×	95 0.9×	84 0.9×	13	878
Sandeep Nambiar	670 0.9×	344 1.2×	218 1.7×	121 1.1×	121 1.3×	26	942
Apoorva Baluapuri	876 1.2×	250 0.8×	143 1.1×	109 1.0×	137 1.5×	25	1.1k
Torsten Wüestefeld	576 0.8×	245 0.8×	235 1.8×	134 1.3×	93 1.0×	25	1.1k
Tomoyasu Isobe	698 1.0×	425 1.4×	94 0.7×	164 1.5×	75 0.8×	22	1.1k
Maria Grazia di Iasio	685 0.9×	414 1.4×	205 1.6×	190 1.8×	67 0.7×	28	1.1k

Countries citing papers authored by Zhen Cai

Since Specialization

Citations

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

Fields of papers citing papers by Zhen Cai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Cai

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