Ren Guo

65 total papers · 509 total citations
23 papers, 244 citations indexed

About

Ren Guo is a scholar working on Geometry and Topology, Applied Mathematics and Computational Mechanics. According to data from OpenAlex, Ren Guo has authored 23 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Geometry and Topology, 12 papers in Applied Mathematics and 8 papers in Computational Mechanics. Recurrent topics in Ren Guo's work include Geometric Analysis and Curvature Flows (10 papers), Geometric and Algebraic Topology (8 papers) and 3D Shape Modeling and Analysis (7 papers). Ren Guo is often cited by papers focused on Geometric Analysis and Curvature Flows (10 papers), Geometric and Algebraic Topology (8 papers) and 3D Shape Modeling and Analysis (7 papers). Ren Guo collaborates with scholars based in United States, China and Luxembourg. Ren Guo's co-authors include Xianfeng Gu, Feng Luo, Wei Zeng, Jian Sun, Shi‐Min Hu, Yong‐Liang Yang, Feng Luo, Min Zhang, Shing‐Tung Yau and Biao Wang and has published in prestigious journals such as Journal of Physics and Chemistry of Solids, Transactions of the American Mathematical Society and Pacific Journal of Mathematics.

In The Last Decade

Ren Guo

19 papers receiving 230 citations

Author Peers

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

Author						Papers	Cites
Ren Guo	129	111	93	80	36	23	244
Jin‐ichi Itoh	47 0.4×	66 0.6×	153 1.6×	118 1.5×	40 1.1×	42	266
C. E. Burgess	51 0.4×	73 0.7×	41 0.4×	143 1.8×	59 1.6×	31	305
Emîn Kasap	204 1.6×	35 0.3×	197 2.1×	105 1.3×	10 0.3×	29	323
Marek Lassak	26 0.2×	93 0.8×	169 1.8×	98 1.2×	46 1.3×	41	265
Nobuko Takeuchi	120 0.9×	30 0.3×	190 2.0×	168 2.1×	9 0.3×	20	297
Boris Odehnal	82 0.6×	50 0.5×	24 0.3×	51 0.6×	10 0.3×	31	171
Wilhelm Blaschke	36 0.3×	22 0.2×	92 1.0×	107 1.3×	21 0.6×	18	263
Werner Haußmann	101 0.8×	12 0.1×	86 0.9×	17 0.2×	32 0.9×	31	199
Ragni Piene	56 0.4×	19 0.2×	31 0.3×	205 2.6×	123 3.4×	25	269
Philip L. Bowers	34 0.3×	38 0.3×	69 0.7×	173 2.2×	45 1.3×	36	251

Countries citing papers authored by Ren Guo

Since Specialization

Citations

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

Fields of papers citing papers by Ren Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ren Guo

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