Ignasius Joanito

855 total citations
9 papers, 285 citations indexed

About

Ignasius Joanito is a scholar working on Molecular Biology, Plant Science and Immunology. According to data from OpenAlex, Ignasius Joanito has authored 9 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Plant Science and 2 papers in Immunology. Recurrent topics in Ignasius Joanito's work include Single-cell and spatial transcriptomics (4 papers), Plant Molecular Biology Research (3 papers) and Light effects on plants (3 papers). Ignasius Joanito is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Plant Molecular Biology Research (3 papers) and Light effects on plants (3 papers). Ignasius Joanito collaborates with scholars based in Singapore, Taiwan and United States. Ignasius Joanito's co-authors include Chao‐Ping Hsu, Shu‐Hsing Wu, Jhih‐Wei Chu, Yi-Chen Wu, Huang-Lung Tsai, Ying Wang, Jong Chan Hong, Chun-I Wang, Sabu Thomas and Diana Elizabeth Waturangi and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Ignasius Joanito

9 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ignasius Joanito Singapore 7 166 137 31 29 21 9 285
Yasunori Kurosawa Japan 12 279 1.7× 57 0.4× 15 0.5× 25 0.9× 4 0.2× 29 442
Fan Hu China 11 188 1.1× 74 0.5× 40 1.3× 10 0.3× 9 0.4× 30 321
Emilio Gutiérrez-Beltrán Sweden 12 442 2.7× 369 2.7× 15 0.5× 17 0.6× 23 1.1× 20 664
Zhongmei Liu China 12 268 1.6× 45 0.3× 27 0.9× 9 0.3× 15 0.7× 22 370
Philip D. Townsend United Kingdom 12 213 1.3× 125 0.9× 48 1.5× 19 0.7× 13 0.6× 13 341
Mari Ishikawa Japan 6 225 1.4× 160 1.2× 29 0.9× 8 0.3× 7 0.3× 13 336
Wai‐Kwan Tang Hong Kong 7 194 1.2× 26 0.2× 12 0.4× 12 0.4× 16 0.8× 10 314
Taylor H. Nguyen United States 8 353 2.1× 26 0.2× 21 0.7× 14 0.5× 4 0.2× 15 436

Countries citing papers authored by Ignasius Joanito

Since Specialization
Citations

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

Fields of papers citing papers by Ignasius Joanito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ignasius Joanito

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

All Works

9 of 9 papers shown
1.
Honardoost, Mohammad Amin, Florian Schmidt, Bobby Ranjan, et al.. (2024). Systematic immune cell dysregulation and molecular subtypes revealed by single-cell RNA-seq of subjects with type 1 diabetes. Genome Medicine. 16(1). 45–45. 14 indexed citations
2.
Ranjan, Bobby, Wenjie Sun, Florian Schmidt, et al.. (2021). DUBStepR is a scalable correlation-based feature selection method for accurately clustering single-cell data. Nature Communications. 12(1). 5849–5849. 43 indexed citations
3.
Schmidt, Florian, Bobby Ranjan, Quy Xiao Xuan Lin, et al.. (2021). RCA2: a scalable supervised clustering algorithm that reduces batch effects in scRNA-seq data. Nucleic Acids Research. 49(15). 8505–8519. 9 indexed citations
4.
Wang, Chun-I, et al.. (2020). Artificial neural networks for predicting charge transfer coupling. The Journal of Chemical Physics. 153(21). 214113–214113. 39 indexed citations
5.
Joanito, Ignasius, et al.. (2020). Basal leakage in oscillation: Coupled transcriptional and translational control using feed-forward loops. PLoS Computational Biology. 16(9). e1007740–e1007740. 1 indexed citations
6.
Ranjan, Bobby, et al.. (2020). DUBStepR: correlation-based feature selection for clustering single-cell RNA sequencing data. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
7.
Joanito, Ignasius, Jhih‐Wei Chu, Shu‐Hsing Wu, & Chao‐Ping Hsu. (2018). An incoherent feed-forward loop switches the Arabidopsis clock rapidly between two hysteretic states. Scientific Reports. 8(1). 13944–13944. 23 indexed citations
8.
Tsai, Huang-Lung, Ignasius Joanito, Yi-Chen Wu, et al.. (2016). LWD–TCP complex activates the morning gene CCA1 in Arabidopsis. Nature Communications. 7(1). 13181–13181. 128 indexed citations
9.
Waturangi, Diana Elizabeth, et al.. (2012). Use of REP- and ERIC-PCR to reveal genetic heterogeneity of Vibrio cholerae from edible ice in Jakarta, Indonesia. Gut Pathogens. 4(1). 2–2. 27 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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