Nan Bing

70 total papers · 5.7k total citations
20 papers, 1.0k citations indexed

About

Nan Bing is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Nan Bing has authored 20 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Genetics. Recurrent topics in Nan Bing's work include Renal cell carcinoma treatment (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Renal and related cancers (3 papers). Nan Bing is often cited by papers focused on Renal cell carcinoma treatment (5 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Renal and related cancers (3 papers). Nan Bing collaborates with scholars based in United States, United Kingdom and Spain. Nan Bing's co-authors include Ina Hoeschele, Pedro Mendes, Alberto de la Fuente, Colin F. Spraggs, John C. Whittaker, Vincent Mooser, Lon R. Cardon, Linda P. Briley, A. Preston and Charles Cox and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Cancer Research.

In The Last Decade

Nan Bing

20 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Nan Bing 574 161 152 133 131 20 1.0k
Ken‐ichi Aisaki 451 0.8× 77 0.5× 116 0.8× 154 1.2× 117 0.9× 27 877
Charles Paulding 583 1.0× 96 0.6× 209 1.4× 200 1.5× 194 1.5× 15 1.1k
Nadeem Wajih 378 0.7× 92 0.6× 128 0.8× 104 0.8× 154 1.2× 31 1.2k
Chengguo Wei 448 0.8× 89 0.6× 93 0.6× 72 0.5× 70 0.5× 28 1.1k
Mohammed Taimi 705 1.2× 69 0.4× 287 1.9× 225 1.7× 123 0.9× 20 1.1k
Haijian Wang 585 1.0× 104 0.6× 97 0.6× 285 2.1× 153 1.2× 43 1000
Laurel M. Adams 526 0.9× 162 1.0× 80 0.5× 268 2.0× 44 0.3× 47 1.2k
Michi Tanaka 232 0.4× 149 0.9× 112 0.7× 107 0.8× 39 0.3× 25 961
Nicholas C. Spies 615 1.1× 191 1.2× 102 0.7× 150 1.1× 39 0.3× 27 1.1k
Karen E. Swales 416 0.7× 57 0.4× 121 0.8× 309 2.3× 151 1.2× 29 916

Countries citing papers authored by Nan Bing

Since Specialization
Citations

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

Fields of papers citing papers by Nan Bing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Bing

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