Song Ren

57 total papers · 935 total citations
35 papers, 751 citations indexed

About

Song Ren is a scholar working on Cancer Research, Hematology and Surgery. According to data from OpenAlex, Song Ren has authored 35 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cancer Research, 7 papers in Hematology and 6 papers in Surgery. Recurrent topics in Song Ren's work include Protease and Inhibitor Mechanisms (9 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers) and Lipoproteins and Cardiovascular Health (5 papers). Song Ren is often cited by papers focused on Protease and Inhibitor Mechanisms (9 papers), Blood Coagulation and Thrombosis Mechanisms (7 papers) and Lipoproteins and Cardiovascular Health (5 papers). Song Ren collaborates with scholars based in Canada, China and United States. Song Ren's co-authors include Garry X. Shen, Lynn W. Enquist, Orkide Ö. Koyuncu, Jianying Zhang, Dongfeng Sun, Ileana M. Cristea, Todd M. Greco, Shalini Shatadal, Jingbo Liu and A. Ángel and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Cancer Research.

In The Last Decade

Song Ren

33 papers receiving 736 citations

Author Peers

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

Author						Papers	Cites
Song Ren	185	163	136	132	107	35	751
Marleen Lox	229 1.2×	187 1.1×	276 2.0×	124 0.9×	135 1.3×	34	863
Giovanni Pecorini	396 2.1×	161 1.0×	134 1.0×	156 1.2×	93 0.9×	21	885
T Nakazawa	193 1.0×	84 0.5×	130 1.0×	250 1.9×	96 0.9×	41	865
Junichi Koga	351 1.9×	181 1.1×	55 0.4×	118 0.9×	129 1.2×	40	797
N. Rüdiger	322 1.7×	105 0.6×	218 1.6×	250 1.9×	41 0.4×	21	892
M. Sudo	316 1.7×	287 1.8×	45 0.3×	137 1.0×	38 0.4×	40	856
Nadia Tinto	260 1.4×	113 0.7×	247 1.8×	81 0.6×	80 0.7×	35	678
Sujata Srikanth	225 1.2×	60 0.4×	45 0.3×	158 1.2×	42 0.4×	34	849
Susan Feeney	266 1.4×	130 0.8×	55 0.4×	50 0.4×	51 0.5×	19	691
C. F. Hollander	174 0.9×	112 0.7×	80 0.6×	42 0.3×	59 0.6×	43	688

Countries citing papers authored by Song Ren

Since Specialization

Citations

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

Fields of papers citing papers by Song Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Ren

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