Nan Guo

56 total papers · 961 total citations
37 papers, 692 citations indexed

About

Nan Guo is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Molecular Biology. According to data from OpenAlex, Nan Guo has authored 37 papers receiving a total of 692 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 8 papers in Epidemiology and 7 papers in Molecular Biology. Recurrent topics in Nan Guo's work include Blood donation and transfusion practices (6 papers), Blood transfusion and management (4 papers) and Diabetes Treatment and Management (3 papers). Nan Guo is often cited by papers focused on Blood donation and transfusion practices (6 papers), Blood transfusion and management (4 papers) and Diabetes Treatment and Management (3 papers). Nan Guo collaborates with scholars based in China, United States and Switzerland. Nan Guo's co-authors include Susan Feigelman, James C. King, Rick de Waard, Virginia Keane, Ginny E. Cummings, Kenrad E. Nelson, Zhufang Shen, Stephan Ehrhardt, Caina Li and Chan Xie and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Clinical Infectious Diseases.

In The Last Decade

Nan Guo

34 papers receiving 669 citations

Author Peers

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

Author						Papers	Cites
Nan Guo	177	142	136	97	96	37	692
Adil Hassan	134 0.8×	55 0.4×	338 2.5×	8 0.1×	47 0.5×	48	712
Jasbinder Kaur	162 0.9×	86 0.6×	131 1.0×	5 0.1×	110 1.1×	67	769
Joan Albert Arnáiz	71 0.4×	34 0.2×	115 0.8×	17 0.2×	28 0.3×	35	615
P. Krishnamurthy	102 0.6×	40 0.3×	145 1.1×	5 0.1×	41 0.4×	34	617
Mohsen Amini	132 0.7×	25 0.2×	38 0.3×	14 0.1×	50 0.5×	38	600
Kaushal K Prasad	132 0.7×	107 0.8×	87 0.6×	14 0.1×	10 0.1×	39	555
Bahman Razi	120 0.7×	55 0.4×	141 1.0×	3 0.0×	59 0.6×	45	702
Siméon Pierre Choukem	144 0.8×	43 0.3×	88 0.6×	3 0.0×	242 2.5×	68	649
Nazila Kassaian	343 1.9×	49 0.3×	201 1.5×	4 0.0×	141 1.5×	54	783
L Stern	320 1.8×	35 0.2×	78 0.6×	4 0.0×	32 0.3×	34	672

Countries citing papers authored by Nan Guo

Since Specialization

Citations

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

Fields of papers citing papers by Nan Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Guo

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