Hon‐Ming Lam

16.1k total citations · 7 hit papers
215 papers, 9.8k citations indexed

About

Hon‐Ming Lam is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Hon‐Ming Lam has authored 215 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 176 papers in Plant Science, 75 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Hon‐Ming Lam's work include Legume Nitrogen Fixing Symbiosis (70 papers), Soybean genetics and cultivation (56 papers) and Plant nutrient uptake and metabolism (53 papers). Hon‐Ming Lam is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (70 papers), Soybean genetics and cultivation (56 papers) and Plant nutrient uptake and metabolism (53 papers). Hon‐Ming Lam collaborates with scholars based in Hong Kong, China and United States. Hon‐Ming Lam's co-authors include Gloria M. Coruzzi, Man‐Wah Li, Yee‐Shan Ku, Guihua Shao, Karen T. Coschigano, Fuk‐Ling Wong, Igor C. Oliveira, Ming-Yan Cheung, Tsui‐Hung Phang and Samuel S. M. Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

In The Last Decade

Hon‐Ming Lam

208 papers receiving 9.6k citations

Hit Papers

Resequencing of 31 wild a... 1996 2026 2006 2016 2010 1996 2018 2013 2020 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Hon‐Ming Lam 7.4k 3.3k 611 570 516 215 9.8k
Jun Li 7.5k 1.0× 5.9k 1.8× 1.3k 2.1× 436 0.8× 386 0.7× 287 11.7k
Arie Altman 8.9k 1.2× 5.4k 1.6× 363 0.6× 486 0.9× 468 0.9× 155 11.5k
Sara I. Zandalinas 6.4k 0.9× 2.8k 0.9× 222 0.4× 338 0.6× 302 0.6× 71 8.3k
Nelson Marmiroli 3.6k 0.5× 2.5k 0.8× 705 1.2× 379 0.7× 763 1.5× 218 7.3k
Jim M. Dunwell 5.3k 0.7× 4.0k 1.2× 929 1.5× 348 0.6× 402 0.8× 179 8.0k
Nobuhiro Suzuki 12.1k 1.6× 6.4k 2.0× 324 0.5× 409 0.7× 447 0.9× 215 16.6k
Narendra Tuteja 12.3k 1.7× 5.4k 1.6× 255 0.4× 397 0.7× 489 0.9× 109 15.8k
Jan E. Leach 11.6k 1.6× 3.5k 1.1× 896 1.5× 404 0.7× 346 0.7× 183 13.6k
John E. Lunn 8.9k 1.2× 5.1k 1.6× 502 0.8× 317 0.6× 439 0.9× 177 11.6k
Brian Forde 9.1k 1.2× 3.3k 1.0× 298 0.5× 542 1.0× 351 0.7× 112 10.4k

Countries citing papers authored by Hon‐Ming Lam

Since Specialization
Citations

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

Fields of papers citing papers by Hon‐Ming Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hon‐Ming Lam. 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 Hon‐Ming Lam. The network helps show where Hon‐Ming Lam may publish in the future.

Co-authorship network of co-authors of Hon‐Ming Lam

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

All Works

20 of 20 papers shown
2.
Lam, Hon‐Ming, et al.. (2024). Nanopore direct RNA sequencing reveals N6-methyladenosine and polyadenylation landscapes on long non-coding RNAs in Arabidopsis thaliana. BMC Plant Biology. 24(1). 1126–1126. 5 indexed citations
3.
Contador, Carolina A., et al.. (2024). Contextualized Metabolic Modelling Revealed Factors Affecting Isoflavone Accumulation in Soybean Seeds. Plant Cell & Environment. 1 indexed citations
4.
Zhang, Yunjia, Yee‐Shan Ku, Sau‐Shan Cheng, et al.. (2024). Challenges to rhizobial adaptability in a changing climate: Genetic engineering solutions for stress tolerance. Microbiological Research. 288. 127886–127886. 10 indexed citations
5.
Matsumoto, Yuki, Claire Chung, Sachiko Isobe, et al.. (2024). Chromosome-scale assembly with improved annotation provides insights into breed-wide genomic structure and diversity in domestic cats. Journal of Advanced Research. 75. 863–874. 2 indexed citations
6.
Xie, Yichun, et al.. (2023). Current technical advancements in plant epitranscriptomic studies. The Plant Genome. 16(4). e20316–e20316. 3 indexed citations
7.
Aslam, Mehtab Muhammad, Felix Fritschi, Di Zhang, et al.. (2023). Overexpression of LaGRAS enhances phosphorus acquisition via increased root growth of phosphorus‐deficient white lupin. Physiologia Plantarum. 175(4). e13962–e13962. 4 indexed citations
8.
Xiao, Zhixia, Qianwen Wang, Man‐Wah Li, et al.. (2022). Wildsoydb DataHub: a platform for accessing soybean multiomic datasets across multiple reference genomes. PLANT PHYSIOLOGY. 190(4). 2099–2102. 8 indexed citations
9.
Ku, Yee‐Shan, et al.. (2022). The Tiny Companion Matters: The Important Role of Protons in Active Transports in Plants. International Journal of Molecular Sciences. 23(5). 2824–2824. 10 indexed citations
10.
Das, Debatosh, Michael Paries, Karen Hobecker, et al.. (2022). PHOSPHATE STARVATION RESPONSE transcription factors enable arbuscular mycorrhiza symbiosis. Nature Communications. 13(1). 477–477. 126 indexed citations breakdown →
11.
Cheng, Sau‐Shan, Yee‐Shan Ku, Ming-Yan Cheung, & Hon‐Ming Lam. (2022). AtGAP1 Promotes the Resistance to Pseudomonas syringae pv. tomato DC3000 by Regulating Cell-Wall Thickness and Stomatal Aperture in Arabidopsis. International Journal of Molecular Sciences. 23(14). 7540–7540. 6 indexed citations
12.
Liu, Shuo, Naheeda Begum, Tingting An, et al.. (2021). Characterization of Root System Architecture Traits in Diverse Soybean Genotypes Using a Semi-Hydroponic System. Plants. 10(12). 2781–2781. 30 indexed citations
13.
Ku, Yee‐Shan, Wai‐Shing Yung, Sau‐Shan Cheng, et al.. (2021). MATE-Type Proteins Are Responsible for Isoflavone Transportation and Accumulation in Soybean Seeds. International Journal of Molecular Sciences. 22(21). 12017–12017. 18 indexed citations
14.
Bayer, Philipp E., Babu Valliyodan, Haifei Hu, et al.. (2021). Sequencing the USDA core soybean collection reveals gene loss during domestication and breeding. The Plant Genome. 15(1). e20109–e20109. 67 indexed citations
15.
16.
Nawaz, Muhammad Amjad, Xiao Lin, Ting‐Fung Chan, et al.. (2020). Korean Wild Soybeans (Glycine soja Sieb & Zucc.): Geographic Distribution and Germplasm Conservation. Agronomy. 10(2). 214–214. 23 indexed citations
17.
Li, Man‐Wah, Zhili Wang, Bingjun Jiang, et al.. (2019). Impacts of genomic research on soybean improvement in East Asia. Theoretical and Applied Genetics. 133(5). 1655–1678. 45 indexed citations
18.
Anjam, Muhammad Shahzad, et al.. (2018). Signal Transduction in Plant–Nematode Interactions. International Journal of Molecular Sciences. 19(6). 1648–1648. 44 indexed citations
19.
Li, Chade, Annette Y. P. Wong, Shuang Wang, et al.. (2018). miRNA-Mediated Interactions in and between Plants and Insects. International Journal of Molecular Sciences. 19(10). 3239–3239. 22 indexed citations
20.
Jiao, Jian, Meng Ni, Biliang Zhang, et al.. (2018). Coordinated regulation of core and accessory genes in the multipartite genome of Sinorhizobium fredii. PLoS Genetics. 14(5). e1007428–e1007428. 33 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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