Frank W. Pun

2.0k total citations · 2 hit papers
38 papers, 817 citations indexed

About

Frank W. Pun is a scholar working on Molecular Biology, Computational Theory and Mathematics and Genetics. According to data from OpenAlex, Frank W. Pun has authored 38 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Genetics. Recurrent topics in Frank W. Pun's work include Computational Drug Discovery Methods (7 papers), Epigenetics and DNA Methylation (5 papers) and GABA and Rice Research (5 papers). Frank W. Pun is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Epigenetics and DNA Methylation (5 papers) and GABA and Rice Research (5 papers). Frank W. Pun collaborates with scholars based in Hong Kong, United States and China. Frank W. Pun's co-authors include Alex Zhavoronkov, Ivan V. Ozerov, Hong Xue, Cunyou Zhao, Jian‐Huan Chen, Suk Ying Tsang, Feng Ren, Zhiliang Yu, Alex Aliper and Xi Long and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Frank W. Pun

34 papers receiving 793 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AI-powered therapeutic target discovery

2023 171 citations Frank W. Pun, Ivan V. Ozerov et al. Trends in Pharmacological Sciences profile →
PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery

2024 65 citations Petrina Kamya, Ivan V. Ozerov et al. Journal of Chemical Information and Modeling profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Frank W. Pun Hong Kong	17	427	178	143	93	53	38	817
Caroline Johnston United Kingdom	14	776 1.8×	107 0.6×	33 0.2×	138 1.5×	94 1.8×	20	1.2k
Brian M. Schilder United States	13	258 0.6×	76 0.4×	33 0.2×	43 0.5×	41 0.8×	20	532
Solveig K. Sieberts United States	14	541 1.3×	390 2.2×	36 0.3×	66 0.7×	58 1.1×	23	946
Soichi Ogishima Japan	15	389 0.9×	75 0.4×	58 0.4×	44 0.5×	41 0.8×	48	759
Rachel Beeri Israel	14	386 0.9×	376 2.1×	97 0.7×	123 1.3×	91 1.7×	29	894
Izumi V. Hinkson United States	9	340 0.8×	36 0.2×	49 0.3×	51 0.5×	65 1.2×	9	762
Edna Matta‐Camacho Canada	16	547 1.3×	111 0.6×	32 0.2×	215 2.3×	47 0.9×	21	869
Yoko Tajima Japan	14	797 1.9×	118 0.7×	13 0.1×	33 0.4×	99 1.9×	22	1.2k
Efrat Lev-Lehman Israel	11	812 1.9×	423 2.4×	251 1.8×	121 1.3×	86 1.6×	14	1.2k
Raffaele Ferrari United Kingdom	7	381 0.9×	61 0.3×	33 0.2×	34 0.4×	63 1.2×	11	681

Countries citing papers authored by Frank W. Pun

Since Specialization

Citations

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

Fields of papers citing papers by Frank W. Pun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank W. Pun. 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 Frank W. Pun. The network helps show where Frank W. Pun may publish in the future.

Co-authorship network of co-authors of Frank W. Pun

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

All Works

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20 of 20 papers shown

Shneyderman, Anastasia, et al.. (2025). From clock to clock: Therapeutic target discovery for aging and age-related diseases. Ageing Research Reviews. 112. 102871–102871.

Wang, Yazhou, Xiaomin Wang, Tingting Liu, et al.. (2025). Discovery of a bifunctional PKMYT1-targeting PROTAC empowered by AI-generation. Nature Communications. 16(1). 10759–10759.

Steurer, Barbara, et al.. (2024). MAT2A inhibition combats metabolic and transcriptional reprogramming in cancer. Drug Discovery Today. 29(11). 104189–104189. 4 indexed citations

Liu, Bonnie Hei Man, Xi Long, Feng Ren, et al.. (2024). Utilizing AI for the Identification and Validation of Novel Therapeutic Targets and Repurposed Drugs for Endometriosis. Advanced Science. 12(5). e2406565–e2406565. 6 indexed citations

Ewald, Collin Y., et al.. (2024). TNIK’s emerging role in cancer, metabolism, and age-related diseases. Trends in Pharmacological Sciences. 45(6). 478–489. 9 indexed citations

Long, Xi, Barbara Steurer, Владимир Наумов, et al.. (2024). AI-enabled cancer target prioritization with optimal profiles balancing novelty, confidence and commercial tractability. 2(1). 1 indexed citations

Kamya, Petrina, Ivan V. Ozerov, Frank W. Pun, et al.. (2024). PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery. Journal of Chemical Information and Modeling. 64(10). 3961–3969. 65 indexed citations breakdown →

Yang, Tianbiao, et al.. (2024). AttenhERG: a reliable and interpretable graph neural network framework for predicting hERG channel blockers. Journal of Cheminformatics. 16(1). 143–143. 6 indexed citations

Liu, Bonnie Hei Man, Vladimir Naumov, Frank W. Pun, et al.. (2023). Biomedical generative pre-trained based transformer language model for age-related disease target discovery. Aging. 15(18). 9293–9309. 15 indexed citations

10.

Wang, Chi Chiu, et al.. (2023). #296 : Identification and Validation of Two Novel Therapeutic Targets for Endometriosis with Artificial Intelligence (AI). SHILAP Revista de lepidopterología. 5(4). 645–645.

11.

Pun, Frank W., Bonnie Hei Man Liu, Xi Long, et al.. (2022). Identification of Therapeutic Targets for Amyotrophic Lateral Sclerosis Using PandaOmics – An AI-Enabled Biological Target Discovery Platform. Frontiers in Aging Neuroscience. 14. 59 indexed citations

12.

Mkrtchyan, Garik V., Evgeny Izumchenko, Anastasia Shneyderman, et al.. (2022). High-confidence cancer patient stratification through multiomics investigation of DNA repair disorders. Cell Death and Disease. 13(11). 999–999. 13 indexed citations

13.

Mei, Lingling, Weiqing Wan, Jun Li, et al.. (2015). Glioma Association and Balancing Selection of ZFPM2. PLoS ONE. 10(7). e0133003–e0133003. 5 indexed citations

14.

Tsang, Shui Ying, Songfa Zhong, Lingling Mei, et al.. (2013). Social Cognitive Role of Schizophrenia Candidate Gene GABRB2. PLoS ONE. 8(4). e62322–e62322. 22 indexed citations

15.

Pun, Frank W., Cunyou Zhao, Shu‐Kay Ng, et al.. (2010). Imprinting in the schizophrenia candidate gene GABRB2 encoding GABAA receptor β2 subunit. Molecular Psychiatry. 16(5). 557–568. 43 indexed citations

16.

Chen, Jian‐Huan, Cunyou Zhao, Frank W. Pun, et al.. (2009). GABRB2 in schizophrenia and bipolar disorder: disease association, gene expression and clinical correlations. Biochemical Society Transactions. 37(6). 1415–1418. 27 indexed citations

17.

Zhao, Cunyou, Zhiwen Xu, Feng Wang, et al.. (2009). Alternative-Splicing in the Exon-10 Region of GABAA Receptor β2 Subunit Gene: Relationships between Novel Isoforms and Psychotic Disorders. PLoS ONE. 4(9). e6977–e6977. 26 indexed citations

18.

Zhao, Cunyou, et al.. (2007). Two isoforms of GABA(A) receptor beta(2) subunit with different electrophysiological properties: differential expression and genotypical correlations in schizophrenia. 16 indexed citations

19.

Lo, Wing‐Sze, Zhiwen Xu, Zhiliang Yu, et al.. (2007). Positive Selection within the Schizophrenia-Associated GABAA Receptor β2 Gene. PLoS ONE. 2(5). e462–e462. 31 indexed citations

20.

Lo, Wing‐Sze, Mutsuo Harano, Micha Gawlik, et al.. (2006). GABRB2 Association with Schizophrenia: Commonalities and Differences Between Ethnic Groups and Clinical Subtypes. Biological Psychiatry. 61(5). 653–660. 37 indexed citations

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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