Haiying Kong

10 total papers · 735 total citations
5 papers, 77 citations indexed

About

Haiying Kong is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Haiying Kong has authored 5 papers receiving a total of 77 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Haiying Kong's work include Lymphoma Diagnosis and Treatment (2 papers), Prostate Cancer Treatment and Research (1 paper) and Alkaline Phosphatase Research Studies (1 paper). Haiying Kong is often cited by papers focused on Lymphoma Diagnosis and Treatment (2 papers), Prostate Cancer Treatment and Research (1 paper) and Alkaline Phosphatase Research Studies (1 paper). Haiying Kong collaborates with scholars based in China, United States and Norway. Haiying Kong's co-authors include Ling Wang, Yang Jin, İbrahim Tekedereli, Martina Tesikova, Anil K. Sood, Bülent Özpolat, Fahri Saatcioglu, Gunhild M. Mælandsmo, Erkan Yuca and Alexandr Kristian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, BMC Cancer and Journal of Clinical Pediatric Dentistry.

In The Last Decade

Haiying Kong

5 papers receiving 76 citations

Author Peers

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

Author Last Decade Papers Cites
Haiying Kong 34 31 26 17 17 5 77
Heba Ijaz 70 2.1× 36 1.2× 25 1.0× 7 0.4× 12 0.7× 4 97
Susanne Gröbner 64 1.9× 38 1.2× 20 0.8× 12 0.7× 25 1.5× 4 97
Michael I. Barbato 53 1.6× 21 0.7× 12 0.5× 7 0.4× 11 0.6× 5 84
Victor Enciso-Mora 51 1.5× 38 1.2× 20 0.8× 26 1.5× 25 1.5× 4 113
Lisa von Wenserski 33 1.0× 22 0.7× 42 1.6× 25 1.5× 10 0.6× 5 104
Stacey Green 31 0.9× 53 1.7× 17 0.7× 7 0.4× 18 1.1× 4 74
Izac J. Findlay 36 1.1× 45 1.5× 18 0.7× 7 0.4× 12 0.7× 4 80
André Bortolini Silveira 67 2.0× 24 0.8× 28 1.1× 14 0.8× 16 0.9× 5 118
Emanuela Pozzi 21 0.6× 26 0.8× 37 1.4× 8 0.5× 25 1.5× 5 89
Aurore Grelier 41 1.2× 33 1.1× 9 0.3× 14 0.8× 9 0.5× 6 88

Countries citing papers authored by Haiying Kong

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiying Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Haiying Kong. A scholar is included among the top collaborators of Haiying 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 Haiying Kong. Haiying 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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2026