Hong Ching Lee

548 total citations
6 papers, 159 citations indexed

About

Hong Ching Lee is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Hong Ching Lee has authored 6 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Genetics. Recurrent topics in Hong Ching Lee's work include Machine Learning in Bioinformatics (2 papers), Protein Structure and Dynamics (2 papers) and RNA and protein synthesis mechanisms (2 papers). Hong Ching Lee is often cited by papers focused on Machine Learning in Bioinformatics (2 papers), Protein Structure and Dynamics (2 papers) and RNA and protein synthesis mechanisms (2 papers). Hong Ching Lee collaborates with scholars based in Australia, France and India. Hong Ching Lee's co-authors include Chon‐Kit Kenneth Chan, David Edwards, Nedeljka Rosić, Sophie Dove, Edmund Y. S. Ling, Paulina Kaniewska, Ove Hoegh‐Guldberg, Sahana Manoli, Paul J. Berkman and Manuel Zander and has published in prestigious journals such as The ISME Journal, BMC Bioinformatics and Breast Cancer Research.

In The Last Decade

Hong Ching Lee

6 papers receiving 159 citations

Peers

Hong Ching Lee

ECOLO

MB

OCEAN

PS

GENET

Michał Koper Poland

Kneip Christoph Germany

Amélie S Véron France

Anthony Xu United States

Stephen D. Mastrian United States

Igor Costa Brazil

Ramón E. Rivera‐Vicéns Germany

Quentin Carradec France

Katarina Damjanovic Australia

Romain Lannes France

Michał Koper Poland

Hong Ching Lee

38 ×0.5

ECOLO

246 ×4.7

MB

27 ×0.7

OCEAN

43 ×1.1

PS

30 ×0.9

GENET

Citations per year, relative to Hong Ching Lee Hong Ching Lee (= 1×) peers Michał Koper

Countries citing papers authored by Hong Ching Lee

Since Specialization

Citations

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

Fields of papers citing papers by Hong Ching Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Ching Lee

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

All Works

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6 of 6 papers shown

1.

Ginn, Samantha L., Claus V. Hallwirth, Sophia H.Y. Liao, et al.. (2016). Limiting Thymic Precursor Supply Increases the Risk of Lymphoid Malignancy in Murine X-Linked Severe Combined Immunodeficiency. Molecular Therapy — Nucleic Acids. 6. 1–14. 21 indexed citations

2.

Rosić, Nedeljka, Edmund Y. S. Ling, Chon‐Kit Kenneth Chan, et al.. (2014). Unfolding the secrets of coral–algal symbiosis. The ISME Journal. 9(4). 844–856. 81 indexed citations

3.

Lai, Kaitao, Michał T. Lorenc, Hong Ching Lee, et al.. (2014). Identification and characterization of more than 4 million intervarietal SNPs across the group 7 chromosomes of bread wheat. Plant Biotechnology Journal. 13(1). 97–104. 37 indexed citations

4.

Ali, Naveid, Jianmin Wu, Falko Hochgräfe, et al.. (2014). Profiling the tyrosine phosphoproteome of different mouse mammary tumour models reveals distinct, model-specific signalling networks and conserved oncogenic pathways. Breast Cancer Research. 16(5). 437–437. 9 indexed citations

5.

Lee, Hong Ching, et al.. (2013). The use of soluble protein structures in modeling helical proteins in a layered membrane. Journal of Biomolecular Structure and Dynamics. 32(2). 308–318. 2 indexed citations

6.

Rath, Emma M., Dominique Tessier, Hong Ching Lee, et al.. (2013). A benchmark server using high resolution protein structure data, and benchmark results for membrane helix predictions. BMC Bioinformatics. 14(1). 111–111. 9 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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