Gen Li

84 total papers · 1.2k total citations
50 papers, 676 citations indexed

About

Gen Li is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Gen Li has authored 50 papers receiving a total of 676 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 15 papers in Cardiology and Cardiovascular Medicine and 9 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Gen Li's work include Cardiac, Anesthesia and Surgical Outcomes (8 papers), Urinary and Genital Oncology Studies (6 papers) and Cardiovascular Health and Disease Prevention (5 papers). Gen Li is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (8 papers), Urinary and Genital Oncology Studies (6 papers) and Cardiovascular Health and Disease Prevention (5 papers). Gen Li collaborates with scholars based in United States, China and Australia. Gen Li's co-authors include Yu Cui, Rong Cao, Robert E. Freundlich, Christopher B. Anderson, Laikang Yu, Yuanyuan Lv, Guanghua Lu, Ming Cai, Jonathan P. Wanderer and James M. McKiernan and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Gen Li

45 papers receiving 668 citations

Author Peers

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

Author						Papers	Cites
Gen Li	332	155	120	106	91	50	676
Michael Pawlik	306 0.9×	144 0.9×	108 0.9×	56 0.5×	30 0.3×	61	626
Sandrine Alonso	238 0.7×	82 0.5×	58 0.5×	126 1.2×	51 0.6×	56	638
A. Heino	293 0.9×	273 1.8×	67 0.6×	66 0.6×	79 0.9×	32	715
Seung‐Young Oh	334 1.0×	447 2.9×	43 0.4×	80 0.8×	40 0.4×	68	753
Martin Tönz	491 1.5×	253 1.6×	193 1.6×	106 1.0×	37 0.4×	46	763
Per Lilleaasen	206 0.6×	55 0.4×	97 0.8×	93 0.9×	50 0.5×	47	590
Brigid C. Flynn	260 0.8×	95 0.6×	214 1.8×	35 0.3×	40 0.4×	59	632
Farhad Etezadi	285 0.9×	152 1.0×	107 0.9×	66 0.6×	41 0.5×	60	577
Frank Stueber	223 0.7×	85 0.5×	152 1.3×	142 1.3×	12 0.1×	28	684
Manan Shah	258 0.8×	61 0.4×	110 0.9×	66 0.6×	49 0.5×	27	576

Countries citing papers authored by Gen Li

Since Specialization

Citations

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

Fields of papers citing papers by Gen Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gen Li

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