L. Liu

35 total papers · 448 total citations
20 papers, 214 citations indexed

About

L. Liu is a scholar working on Obstetrics and Gynecology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, L. Liu has authored 20 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Obstetrics and Gynecology, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Surgery. Recurrent topics in L. Liu's work include Gestational Diabetes Research and Management (7 papers), Pregnancy and preeclampsia studies (6 papers) and Antiplatelet Therapy and Cardiovascular Diseases (5 papers). L. Liu is often cited by papers focused on Gestational Diabetes Research and Management (7 papers), Pregnancy and preeclampsia studies (6 papers) and Antiplatelet Therapy and Cardiovascular Diseases (5 papers). L. Liu collaborates with scholars based in China, United States and Australia. L. Liu's co-authors include Thomas Leung, Xinyi Leng, Linfang Lan, Ka Sing Wong, Taneli Heikkinen, Thomas van Groen, Sami Ikonen, Heikki Tanila, Tero Tapiola and Y. Wang and has published in prestigious journals such as Neuroscience, Experimental Neurology and International Journal of Nursing Studies.

In The Last Decade

L. Liu

18 papers receiving 213 citations

Author Peers

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

Author						Papers	Cites
L. Liu	74	50	43	40	36	20	214
Aoife Nolan	41 0.6×	24 0.5×	54 1.3×	34 0.8×	28 0.8×	15	308
Anthony Pinçon	45 0.6×	43 0.9×	74 1.7×	15 0.4×	35 1.0×	12	326
Yoshiyuki Ishiura	44 0.6×	43 0.9×	62 1.4×	41 1.0×	5 0.1×	27	325
Peixian Huang	41 0.6×	21 0.4×	36 0.8×	67 1.7×	9 0.3×	13	330
Daniela F. Requena	62 0.8×	31 0.6×	22 0.5×	81 2.0×	84 2.3×	15	322
Rachel L. León	103 1.4×	61 1.2×	13 0.3×	98 2.5×	30 0.8×	25	302
Meinders Ae	59 0.8×	37 0.7×	85 2.0×	11 0.3×	12 0.3×	29	304
Hardik Patel	52 0.7×	92 1.8×	24 0.6×	36 0.9×	24 0.7×	35	314
Ruixi Zhou	67 0.9×	36 0.7×	32 0.7×	21 0.5×	15 0.4×	34	304
Martine Puylaert	39 0.5×	25 0.5×	118 2.7×	26 0.7×	22 0.6×	20	311

Countries citing papers authored by L. Liu

Since Specialization

Citations

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

Fields of papers citing papers by L. Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Liu

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