Hong-Fen Guo

132 total papers · 2.7k total citations
50 papers, 2.0k citations indexed

About

Hong-Fen Guo is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Hong-Fen Guo has authored 50 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Oncology, 27 papers in Radiology, Nuclear Medicine and Imaging and 18 papers in Neurology. Recurrent topics in Hong-Fen Guo's work include Monoclonal and Polyclonal Antibodies Research (22 papers), CAR-T cell therapy research (19 papers) and Neuroblastoma Research and Treatments (18 papers). Hong-Fen Guo is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (22 papers), CAR-T cell therapy research (19 papers) and Neuroblastoma Research and Treatments (18 papers). Hong-Fen Guo collaborates with scholars based in United States, Japan and China. Hong-Fen Guo's co-authors include Nai‐Kong V. Cheung, Irene Y. Cheung, Hong Xu, Jean‐Baptiste Latouche, Anja Krause, Michel Sadelain, Cuiwen Tan, Shakeel Modak, Steven M. Larson and Robert A. Ross and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Hong-Fen Guo

48 papers receiving 2.0k citations

Author Peers

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

Author						Papers	Cites
Hong-Fen Guo	1.1k	778	606	551	546	50	2.0k
J. T. Kemshead	501 0.5×	910 1.2×	487 0.8×	686 1.2×	776 1.4×	72	2.4k
Syed R. Husain	770 0.7×	686 0.9×	1.2k 2.0×	209 0.4×	382 0.7×	54	2.5k
Valentina Ciccarone	640 0.6×	745 1.0×	419 0.7×	266 0.5×	513 0.9×	28	1.5k
Chiara Brignole	502 0.5×	1.4k 1.8×	637 1.1×	670 1.2×	170 0.3×	55	2.7k
S. D. Gillies	871 0.8×	983 1.3×	700 1.2×	1.4k 2.5×	340 0.6×	18	2.2k
Frank Hartmann	905 0.8×	561 0.7×	385 0.6×	267 0.5×	432 0.8×	82	2.8k
Jacek Gan	946 0.9×	730 0.9×	945 1.6×	982 1.8×	362 0.7×	39	2.0k
Bin Liu	1.0k 1.0×	902 1.2×	511 0.8×	80 0.1×	579 1.1×	45	1.9k
Charles N. Pegram	830 0.8×	855 1.1×	521 0.9×	231 0.4×	909 1.7×	46	2.3k
Martina Rudelius	900 0.8×	1.1k 1.4×	588 1.0×	139 0.3×	306 0.6×	89	3.0k

Countries citing papers authored by Hong-Fen Guo

Since Specialization

Citations

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

Fields of papers citing papers by Hong-Fen Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong-Fen Guo

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