Ka Ming Nip

8.5k total citations
16 papers, 235 citations indexed

About

Ka Ming Nip is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Ka Ming Nip has authored 16 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 2 papers in Plant Science and 2 papers in Cancer Research. Recurrent topics in Ka Ming Nip's work include Genomics and Phylogenetic Studies (9 papers), RNA modifications and cancer (6 papers) and RNA and protein synthesis mechanisms (3 papers). Ka Ming Nip is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), RNA modifications and cancer (6 papers) and RNA and protein synthesis mechanisms (3 papers). Ka Ming Nip collaborates with scholars based in Canada, United States and Germany. Ka Ming Nip's co-authors include İnanç Birol, René L. Warren, Readman Chiu, Chen Yang, Justin Chu, Hamid Mohamadi, Shaun D. Jackman, A. Gordon Robertson, Anthony Raymond and Saber Hafezqorani and has published in prestigious journals such as Nature Communications, Bioinformatics and Scientific Reports.

In The Last Decade

Ka Ming Nip

16 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ka Ming Nip Canada 9 184 37 27 20 19 16 235
Wanwan Hou China 9 100 0.5× 22 0.6× 13 0.5× 46 2.3× 13 0.7× 23 195
Konstantina Athanasopoulou Greece 7 140 0.8× 42 1.1× 26 1.0× 8 0.4× 25 1.3× 14 251
Giacomo Baruzzo Italy 9 359 2.0× 106 2.9× 36 1.3× 8 0.4× 39 2.1× 16 479
Clive Brown United Kingdom 5 189 1.0× 37 1.0× 31 1.1× 12 0.6× 33 1.7× 5 262
Jessica Lam United States 8 237 1.3× 46 1.2× 84 3.1× 16 0.8× 14 0.7× 9 338
Tina Koestler Austria 10 138 0.8× 49 1.3× 35 1.3× 5 0.3× 5 0.3× 14 220
David C. Norris United States 4 181 1.0× 21 0.6× 56 2.1× 4 0.2× 19 1.0× 8 272
Manuel Allhoff Germany 6 210 1.1× 32 0.9× 26 1.0× 4 0.2× 14 0.7× 6 250
Anmol Kiran Malawi 9 637 3.5× 112 3.0× 15 0.6× 27 1.4× 25 1.3× 22 754
Maia Segura‐Wang Germany 7 146 0.8× 48 1.3× 43 1.6× 6 0.3× 9 0.5× 14 268

Countries citing papers authored by Ka Ming Nip

Since Specialization
Citations

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

Fields of papers citing papers by Ka Ming Nip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka Ming Nip. 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 Ka Ming Nip. The network helps show where Ka Ming Nip may publish in the future.

Co-authorship network of co-authors of Ka Ming Nip

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

All Works

16 of 16 papers shown
1.
Nip, Ka Ming, Saber Hafezqorani, Kristina Gagalova, et al.. (2023). Reference-free assembly of long-read transcriptome sequencing data with RNA-Bloom2. Nature Communications. 14(1). 2940–2940. 18 indexed citations
2.
Wong, Johnathan, et al.. (2023). Linear time complexity de novo long read genome assembly with GoldRush. Nature Communications. 14(1). 2906–2906. 16 indexed citations
3.
Yang, Chen, et al.. (2023). Characterization and simulation of metagenomic nanopore sequencing data with Meta-NanoSim. GigaScience. 12. 8 indexed citations
4.
Zhang, Xiu Juan, Yumeng Wang, Hei-Nga Chan, et al.. (2023). Prevalence and Characteristics of Peripapillary Gamma Zone in Children With Different Refractive Status: The Hong Kong Children Eye Study. Investigative Ophthalmology & Visual Science. 64(4). 4–4. 3 indexed citations
5.
Chu, Justin, Johnathan Wong, Lauren Coombe, et al.. (2022). RResolver: efficient short-read repeat resolution within ABySS. BMC Bioinformatics. 23(1). 246–246. 1 indexed citations
6.
Nip, Ka Ming, et al.. (2022). Seasonal and sex-dependent gene expression in emu (Dromaius novaehollandiae) fat tissues. Scientific Reports. 12(1). 9419–9419. 4 indexed citations
7.
Nip, Ka Ming, Chenkai Li, Anat Yanai, et al.. (2022). Mining Amphibian and Insect Transcriptomes for Antimicrobial Peptide Sequences with rAMPage. Antibiotics. 11(7). 952–952. 18 indexed citations
8.
Nip, Ka Ming, Saber Hafezqorani, Kristina Gagalova, et al.. (2021). RNA-Scoop: interactive visualization of transcripts in single-cell transcriptomes. NAR Genomics and Bioinformatics. 3(4). lqab105–lqab105. 1 indexed citations
9.
Hafezqorani, Saber, et al.. (2020). Trans-NanoSim characterizes and simulates nanopore RNA-sequencing data. GigaScience. 9(6). 18 indexed citations
10.
Nip, Ka Ming, Readman Chiu, Chen Yang, et al.. (2020). RNA-Bloom enables reference-free and reference-guided sequence assembly for single-cell transcriptomes. Genome Research. 30(8). 1191–1200. 32 indexed citations
11.
Chiu, Readman, Ka Ming Nip, & İnanç Birol. (2019). Fusion-Bloom: fusion detection in assembled transcriptomes. Bioinformatics. 36(7). 2256–2257. 8 indexed citations
12.
Warren, René L., Ewan A. Gibb, Johnathan Wong, et al.. (2018). Recurrent tumor-specific regulation of alternative polyadenylation of cancer-related genes. BMC Genomics. 19(1). 536–536. 22 indexed citations
13.
Chiu, Readman, Ka Ming Nip, Justin Chu, & İnanç Birol. (2018). TAP: a targeted clinical genomics pipeline for detecting transcript variants using RNA-seq data. BMC Medical Genomics. 11(1). 79–79. 5 indexed citations
14.
Krzywinski, Martin, Ka Ming Nip, İnanç Birol, & Marco A. Marra. (2016). Differential Hive Plots: Seeing Networks Change. Leonardo. 50(5). 504–504. 1 indexed citations
15.
Chu, Justin, Sara Sadeghi, Anthony Raymond, et al.. (2014). BioBloom tools: fast, accurate and memory-efficient host species sequence screening using bloom filters. Bioinformatics. 30(23). 3402–3404. 62 indexed citations
16.
Birol, İnanç, Anthony Raymond, Readman Chiu, et al.. (2014). KLEAT: CLEAVAGE SITE ANALYSIS OF TRANSCRIPTOMES. PubMed. 347–358. 18 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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