Xiaotian Kong

20 total papers · 595 total citations
17 papers, 505 citations indexed

About

Xiaotian Kong is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaotian Kong has authored 17 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaotian Kong's work include Computational Drug Discovery Methods (5 papers), Lung Cancer Treatments and Mutations (4 papers) and HER2/EGFR in Cancer Research (3 papers). Xiaotian Kong is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Lung Cancer Treatments and Mutations (4 papers) and HER2/EGFR in Cancer Research (3 papers). Xiaotian Kong collaborates with scholars based in China, Czechia and United States. Xiaotian Kong's co-authors include Tingjun Hou, Youyong Li, Peichen Pan, Huiyong Sun, Sheng Tian, Dan Li, Wenfang Zhou, Xuwen Wang, Hongguang Xia and Keke Ding and has published in prestigious journals such as Environmental Science & Technology, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Xiaotian Kong

15 papers receiving 502 citations

Author Peers

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

Author						Papers	Cites
Xiaotian Kong	316	115	106	81	59	17	505
Sergei Timofeevski	263 0.8×	42 0.4×	102 1.0×	59 0.7×	39 0.7×	17	604
Katherine Tepperman	252 0.8×	30 0.3×	101 1.0×	9 0.1×	81 1.4×	24	593
Ulrike Pfaar	189 0.6×	27 0.2×	199 1.9×	63 0.8×	7 0.1×	12	566
Xiaoli Pan	232 0.7×	17 0.1×	83 0.8×	36 0.4×	15 0.3×	32	464
Sarah Labib	262 0.8×	53 0.5×	72 0.7×	39 0.5×	200 3.4×	9	565
Adam Tanner	338 1.1×	16 0.1×	61 0.6×	26 0.3×	10 0.2×	12	545
Milena Mennecozzi	243 0.8×	27 0.2×	94 0.9×	13 0.2×	52 0.9×	17	500
Lenka Brůčková	131 0.4×	24 0.2×	59 0.6×	26 0.3×	14 0.2×	20	447
Akito Hata	215 0.7×	18 0.2×	102 1.0×	160 2.0×	45 0.8×	16	510
Siang‐Boon Koh	290 0.9×	19 0.2×	161 1.5×	28 0.3×	18 0.3×	21	491

Countries citing papers authored by Xiaotian Kong

Since Specialization

Citations

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

Fields of papers citing papers by Xiaotian Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotian Kong

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