Christopher Hendra

905 total citations · 2 hit papers
4 papers, 415 citations indexed

About

Christopher Hendra is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Christopher Hendra has authored 4 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Genetics. Recurrent topics in Christopher Hendra's work include RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (2 papers) and Genomics and Phylogenetic Studies (2 papers). Christopher Hendra is often cited by papers focused on RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (2 papers) and Genomics and Phylogenetic Studies (2 papers). Christopher Hendra collaborates with scholars based in Singapore, Thailand and China. Christopher Hendra's co-authors include Yuk Kei Wan, Jonathan Göke, Ploy N. Pratanwanich, Alexandre H. Thiéry, W.S. Sho Goh, Ying Chen, Casslynn W.Q. Koh, Polly Poon, Sarah Ng and Yeek Teck Goh and has published in prestigious journals such as Nature Biotechnology, Nature Methods and Trends in Genetics.

In The Last Decade

Christopher Hendra

4 papers receiving 414 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.

Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore

2021 197 citations Ploy N. Pratanwanich, Fei Yao et al. Nature Biotechnology profile →
Detection of m6A from direct RNA sequencing using a multiple instance learning framework

2022 144 citations Christopher Hendra, Ploy N. Pratanwanich et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher Hendra Singapore	4	381	184	41	34	21	4	415
Yuk Kei Wan Singapore	6	470 1.2×	202 1.1×	47 1.1×	34 1.0×	23 1.1×	9	510
Rebeca Medina Spain	7	364 1.0×	136 0.7×	21 0.5×	14 0.4×	29 1.4×	10	377
Charlotte Capitanchik United Kingdom	8	361 0.9×	125 0.7×	19 0.5×	31 0.9×	13 0.6×	11	380
Casslynn W.Q. Koh Singapore	5	483 1.3×	241 1.3×	17 0.4×	60 1.8×	20 1.0×	5	499
Patrick Toolan-Kerr United Kingdom	5	282 0.7×	116 0.6×	19 0.5×	25 0.7×	11 0.5×	5	298
Jaclyn M. Einstein United States	4	333 0.9×	134 0.7×	16 0.4×	30 0.9×	20 1.0×	4	343
Ivan Milenkovic Spain	5	350 0.9×	132 0.7×	17 0.4×	11 0.3×	26 1.2×	6	360
Polly Poon Singapore	5	244 0.6×	181 1.0×	25 0.6×	24 0.7×	46 2.2×	5	301
Shanshan Qin China	7	342 0.9×	144 0.8×	12 0.3×	48 1.4×	18 0.9×	12	372
Ouwen Li China	6	232 0.6×	91 0.5×	42 1.0×	64 1.9×	64 3.0×	12	343

Countries citing papers authored by Christopher Hendra

Since Specialization

Citations

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

Fields of papers citing papers by Christopher Hendra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Hendra

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

All Works

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4 of 4 papers shown

1.

Hendra, Christopher, Ploy N. Pratanwanich, Yuk Kei Wan, et al.. (2022). Detection of m6A from direct RNA sequencing using a multiple instance learning framework. Nature Methods. 19(12). 1590–1598. 144 indexed citations breakdown →

2.

Wan, Yuk Kei, Christopher Hendra, Ploy N. Pratanwanich, & Jonathan Göke. (2021). Beyond sequencing: machine learning algorithms extract biology hidden in Nanopore signal data. Trends in Genetics. 38(3). 246–257. 65 indexed citations

3.

Pratanwanich, Ploy N., Fei Yao, Ying Chen, et al.. (2021). Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore. Nature Biotechnology. 39(11). 1394–1402. 197 indexed citations breakdown →

4.

Lim, Si Ying, Christopher Hendra, Anna Karen Carrasco Laserna, et al.. (2021). N-glycan profiles of acute myocardial infarction patients reveal potential biomarkers for diagnosis, severity assessment and treatment monitoring. Glycobiology. 32(6). 469–482. 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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