Guangbi Li

84 total papers · 1.0k total citations
42 papers, 876 citations indexed

About

Guangbi Li is a scholar working on Molecular Biology, Nephrology and Physiology. According to data from OpenAlex, Guangbi Li has authored 42 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Nephrology and 12 papers in Physiology. Recurrent topics in Guangbi Li's work include Renal Diseases and Glomerulopathies (15 papers), Inflammasome and immune disorders (15 papers) and Calcium signaling and nucleotide metabolism (12 papers). Guangbi Li is often cited by papers focused on Renal Diseases and Glomerulopathies (15 papers), Inflammasome and immune disorders (15 papers) and Calcium signaling and nucleotide metabolism (12 papers). Guangbi Li collaborates with scholars based in United States, China and Germany. Guangbi Li's co-authors include Pin‐Lan Li, Todd W.B. Gehr, Krishna M. Boini, Min Xia, Pin-Lan Li, Owais M. Bhat, Joseph K. Ritter, Sabena M. Conley, Justine M. Abais and Xinxu Yuan and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and The FASEB Journal.

In The Last Decade

Guangbi Li

38 papers receiving 865 citations

Author Peers

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

Author						Papers	Cites
Guangbi Li	559	273	149	116	90	42	876
Xinzhong Huang	400 0.7×	172 0.6×	186 1.2×	106 0.9×	67 0.7×	40	1.0k
Zhengzhe Li	460 0.8×	350 1.3×	157 1.1×	43 0.4×	155 1.7×	33	1.0k
Qian Yang	388 0.7×	228 0.8×	86 0.6×	42 0.4×	96 1.1×	42	799
Jijia Hu	389 0.7×	282 1.0×	117 0.8×	39 0.3×	61 0.7×	35	776
Ruizhao Li	394 0.7×	401 1.5×	159 1.1×	37 0.3×	84 0.9×	57	944
Yunzhuo Ren	533 1.0×	264 1.0×	147 1.0×	43 0.4×	119 1.3×	30	1.0k
Yusuke Sakamaki	405 0.7×	309 1.1×	171 1.1×	107 0.9×	39 0.4×	23	967
H. Wu	333 0.6×	226 0.8×	242 1.6×	41 0.4×	111 1.2×	24	809
Ahrom Ham	290 0.5×	141 0.5×	104 0.7×	79 0.7×	109 1.2×	21	746
Irena Audzeyenka	324 0.6×	306 1.1×	86 0.6×	84 0.7×	32 0.4×	43	711

Countries citing papers authored by Guangbi Li

Since Specialization

Citations

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

Fields of papers citing papers by Guangbi Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangbi Li

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