Shannan Ho Sui

1.5k total citations
25 papers, 833 citations indexed

About

Shannan Ho Sui is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Shannan Ho Sui has authored 25 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Shannan Ho Sui's work include Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). Shannan Ho Sui is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Single-cell and spatial transcriptomics (3 papers) and Invertebrate Immune Response Mechanisms (3 papers). Shannan Ho Sui collaborates with scholars based in United States, United Kingdom and Germany. Shannan Ho Sui's co-authors include Sudhir Gopal Tattikota, Aram Comjean, Norbert Perrimon, Yanhui Hu, Fangge Li, Ruei‐Jiun Hung, Yifang Liu, Oliver Hofmann, Rory Kirchner and Víctor Barrera and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Shannan Ho Sui

22 papers receiving 831 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shannan Ho Sui United States 13 314 276 121 112 91 25 833
Helen Weavers United Kingdom 11 312 1.0× 271 1.0× 125 1.0× 76 0.7× 44 0.5× 26 760
Manolis Mavroidis Greece 21 937 3.0× 142 0.5× 159 1.3× 72 0.6× 27 0.3× 44 1.4k
Claire L. Simpson United States 17 324 1.0× 38 0.1× 112 0.9× 54 0.5× 13 0.1× 61 977
Mineto Ota Japan 18 269 0.9× 260 0.9× 91 0.8× 21 0.2× 7 0.1× 68 887
Krisztián Kvell Hungary 20 429 1.4× 192 0.7× 32 0.3× 12 0.1× 11 0.1× 47 957
Katharina Schmidt Germany 17 520 1.7× 146 0.5× 118 1.0× 36 0.3× 5 0.1× 39 1.1k
Carole A. Stagg United States 14 1.2k 3.7× 112 0.4× 28 0.2× 12 0.1× 37 0.4× 18 1.6k
Yukiko Kannan Japan 15 232 0.7× 339 1.2× 318 2.6× 12 0.1× 45 0.5× 24 918
Yasuhiro Tsukamoto Japan 20 314 1.0× 141 0.5× 98 0.8× 6 0.1× 7 0.1× 82 1.0k
Maria Luisa Tenchini Italy 24 555 1.8× 67 0.2× 252 2.1× 9 0.1× 28 0.3× 74 1.6k

Countries citing papers authored by Shannan Ho Sui

Since Specialization
Citations

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

Fields of papers citing papers by Shannan Ho Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shannan Ho Sui. 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 Shannan Ho Sui. The network helps show where Shannan Ho Sui may publish in the future.

Co-authorship network of co-authors of Shannan Ho Sui

This figure shows the co-authorship network connecting the top 25 collaborators of Shannan Ho Sui. A scholar is included among the top collaborators of Shannan Ho Sui 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 Shannan Ho Sui. Shannan Ho Sui 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
1.
Karwacki-Neisius, Violetta, Ahram Jang, Engin Cukuroglu, et al.. (2024). WNT signalling control by KDM5C during development affects cognition. Nature. 627(8004). 594–603. 12 indexed citations
3.
Lynch, Michael P., Yufei Wang, Shannan Ho Sui, Laurent Gatto, & Aedín C. Culhane. (2024). demuxSNP: supervised demultiplexing single-cell RNA sequencing using cell hashing and SNPs. GigaScience. 13.
4.
Martins, Christina, Erik Rasbach, Praveen Kumar Singh, et al.. (2024). Type I interferon signaling induces melanoma cell-intrinsic PD-1 and its inhibition antagonizes immune checkpoint blockade. Nature Communications. 15(1). 7165–7165. 17 indexed citations
5.
Shin, Nara, Marina Martínez‐García, Rajendiran Karthikraj, et al.. (2024). Altered gene expression linked to germline dysfunction following exposure of Caenorhabditis elegans to DEET. iScience. 27(1). 108699–108699. 8 indexed citations
6.
Barrera, Víctor, Philip Brennecke, Corey N. Miller, et al.. (2024). Ehf and Fezf2 regulate late medullary thymic epithelial cell and thymic tuft cell development. Frontiers in Immunology. 14. 1277365–1277365. 10 indexed citations
7.
Murakami, Naoka, Thiago J. Borges, Thet Su Win, et al.. (2023). Low-dose interleukin-2 promotes immune regulation in face transplantation: A pilot study. American Journal of Transplantation. 23(4). 549–558. 7 indexed citations
8.
Sasi, Binu K., Mandovi Chatterjee, Víctor Barrera, et al.. (2023). Defining the Drivers of Idelalisib-Related Early Autoimmune Toxicity in Chronic Lymphocytic Leukemia. Blood. 142(Supplement 1). 6511–6511.
9.
Win, Thet Su, Beatrice Dyring‐Andersen, Jessica E. Teague, et al.. (2021). Immunoregulatory and lipid presentation pathways are upregulated in human face transplant rejection. Journal of Clinical Investigation. 131(8). 21 indexed citations
10.
Byles, Vanessa, Yann Cormerais, Víctor Barrera, et al.. (2021). Hepatic mTORC1 signaling activates ATF4 as part of its metabolic response to feeding and insulin. Molecular Metabolism. 53. 101309–101309. 25 indexed citations
11.
Hung, Ruei‐Jiun, Yanhui Hu, Rory Kirchner, et al.. (2020). A cell atlas of the adult Drosophila midgut. Proceedings of the National Academy of Sciences. 117(3). 1514–1523. 162 indexed citations
12.
Tattikota, Sudhir Gopal, Bumsik Cho, Yifang Liu, et al.. (2020). A single-cell survey of Drosophila blood. eLife. 9. 125 indexed citations
13.
Dragon, Julie A., Chris Gates, Shannan Ho Sui, et al.. (2020). Bioinformatics Core Survey Highlights the Challenges Facing Data Analysis Facilities. Journal of Biomolecular Techniques JBT. 31(2). jbt.20–3102. 2 indexed citations
14.
Sui, Shannan Ho, Rory Kirchner, Michael J. Steinbaugh, et al.. (2019). Supporting Single Cell RNA-seq Analysis at Harvard - A Community Approach. Journal of Biomolecular Techniques JBT. 30. 1 indexed citations
15.
Pavkovic, Mira, Lorena Pantano, Sarah A. Boswell, et al.. (2019). Multi omics analysis of fibrotic kidneys in two mouse models. Scientific Data. 6(1). 92–92. 31 indexed citations
16.
Win, Thet Su, Naoka Murakami, Thiago J. Borges, et al.. (2017). Longitudinal immunological characterization of the first presensitized recipient of a face transplant. JCI Insight. 2(13). 20 indexed citations
17.
Sunshine, Sara, Rory Kirchner, Sami S. Amr, et al.. (2016). HIV Integration Site Analysis of Cellular Models of HIV Latency with a Probe-Enriched Next-Generation Sequencing Assay. Journal of Virology. 90(9). 4511–4519. 41 indexed citations
18.
Liu, Jing, A. Michaela Krautzberger, Shannan Ho Sui, et al.. (2014). Cell-specific translational profiling in acute kidney injury. Journal of Clinical Investigation. 124(3). 1242–1254. 142 indexed citations
19.
Liu, Jing, A. Michaela Krautzberger, Shannan Ho Sui, et al.. (2014). Cell-specific translational profiling in acute kidney injury. Journal of Clinical Investigation. 124(5). 2288–2288. 3 indexed citations
20.
Mazumdar, Maitreyi, Weiming Xia, Oliver Hofmann, et al.. (2012). Prenatal Lead Levels, Plasma Amyloid β Levels, and Gene Expression in Young Adulthood. Environmental Health Perspectives. 120(5). 702–707. 46 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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