Hong Xin

40 total papers · 1.8k total citations
33 papers, 1.5k citations indexed

About

Hong Xin is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Hong Xin has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Oncology and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Hong Xin's work include Nanoplatforms for cancer theranostics (5 papers), Photodynamic Therapy Research Studies (5 papers) and Chemokine receptors and signaling (5 papers). Hong Xin is often cited by papers focused on Nanoplatforms for cancer theranostics (5 papers), Photodynamic Therapy Research Studies (5 papers) and Chemokine receptors and signaling (5 papers). Hong Xin collaborates with scholars based in United States, China and Japan. Hong Xin's co-authors include Yasuo Saijo, Toshihiro Nukiwa, Masahiko Kanehira, Steven N. Kalkanis, Toshiaki Kikuchi, Hiroyuki Mizuguchi, Shinya Ohkouchi, Makoto Maemondo, Michael Chopp and Ruowen Sun and has published in prestigious journals such as The Journal of Immunology, Journal of neurosurgery and European Journal of Immunology.

In The Last Decade

Hong Xin

32 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Hong Xin	656	490	487	338	318	33	1.5k
Paula Yeng Po Lam	926 1.4×	418 0.9×	401 0.8×	308 0.9×	171 0.5×	49	1.6k
Yanqing Gong	764 1.2×	473 1.0×	329 0.7×	468 1.4×	477 1.5×	33	1.7k
Felix Zeppernick	608 0.9×	691 1.4×	294 0.6×	384 1.1×	165 0.5×	40	1.6k
Elena I. Fomchenko	771 1.2×	607 1.2×	581 1.2×	389 1.2×	152 0.5×	23	1.5k
M. Reza Saadatzadeh	952 1.5×	326 0.7×	398 0.8×	296 0.9×	171 0.5×	38	1.6k
Cho-Lea Tso	774 1.2×	531 1.1×	363 0.7×	339 1.0×	341 1.1×	30	1.5k
Anna Darabi	494 0.8×	487 1.0×	487 1.0×	202 0.6×	464 1.5×	42	1.4k
Liming Du	690 1.1×	365 0.7×	461 0.9×	309 0.9×	323 1.0×	23	1.6k
David Tran	527 0.8×	481 1.0×	564 1.2×	254 0.8×	166 0.5×	39	1.4k
Gro Vatne Røsland	804 1.2×	698 1.4×	793 1.6×	460 1.4×	109 0.3×	23	1.8k

Countries citing papers authored by Hong Xin

Since Specialization

Citations

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

Fields of papers citing papers by Hong Xin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Xin

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