Xiao–Tang Kong

108 total papers · 906 total citations
51 papers, 674 citations indexed

About

Xiao–Tang Kong is a scholar working on Genetics, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiao–Tang Kong has authored 51 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Genetics, 14 papers in Oncology and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiao–Tang Kong's work include Glioma Diagnosis and Treatment (24 papers), Cancer Research and Treatments (10 papers) and Brain Metastases and Treatment (8 papers). Xiao–Tang Kong is often cited by papers focused on Glioma Diagnosis and Treatment (24 papers), Cancer Research and Treatments (10 papers) and Brain Metastases and Treatment (8 papers). Xiao–Tang Kong collaborates with scholars based in United States, Japan and China. Xiao–Tang Kong's co-authors include Eric J. Stanbridge, Oscar Aurelio, Swati Gupta, Xiaoli Chen, Yan Jin, Y. Ding, Cheng‐Hu Hu, Daniela A. Bota, Frank P. K. Hsu and Neil Hoa and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Xiao–Tang Kong

37 papers receiving 661 citations

Author Peers

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

Author Last Decade Papers Cites
Xiao–Tang Kong 338 189 179 109 94 51 674
Carl Friedrich Classen 205 0.6× 113 0.6× 119 0.7× 121 1.1× 79 0.8× 37 612
Xingli Zhao 238 0.7× 212 1.1× 77 0.4× 157 1.4× 73 0.8× 74 716
Takaharu Kimura 440 1.3× 142 0.8× 96 0.5× 165 1.5× 167 1.8× 39 779
Cooley G. Pantazis 262 0.8× 187 1.0× 100 0.6× 93 0.9× 54 0.6× 53 753
Bhopal Mohapatra 430 1.3× 174 0.9× 68 0.4× 95 0.9× 89 0.9× 34 681
Claudiu Cotta 289 0.9× 133 0.7× 123 0.7× 125 1.1× 182 1.9× 50 632
Dong Lin 262 0.8× 182 1.0× 71 0.4× 125 1.1× 130 1.4× 66 698
Ritsuko Seki 266 0.8× 147 0.8× 109 0.6× 104 1.0× 70 0.7× 48 641
N Horschowski 295 0.9× 213 1.1× 55 0.3× 140 1.3× 60 0.6× 37 657
D Seigneurin 264 0.8× 128 0.7× 65 0.4× 81 0.7× 119 1.3× 54 599

Countries citing papers authored by Xiao–Tang Kong

Since Specialization
Citations

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

Fields of papers citing papers by Xiao–Tang Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao–Tang Kong. 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 Xiao–Tang Kong. The network helps show where Xiao–Tang Kong may publish in the future.

Co-authorship network of co-authors of Xiao–Tang Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao–Tang Kong. A scholar is included among the top collaborators of Xiao–Tang Kong 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 Xiao–Tang Kong. Xiao–Tang Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026