Benedict Anchang

1.9k citations
20 papers · 389 · h-index 7

Impact in

Papers in

    • Single-cell and spatial transcriptomics 9
    • Gene Regulatory Network Analysis 7
    • Gene expression and cancer classification 4
    • T-cell and B-cell Immunology 3

Benedict Anchang

19 papers receiving 388 citations

Peers

Benedict Anchang
Comparison fields: 5 of 76
  • Biophysics 48
  • Cancer Research 86
  • Oncology 116
  • Molecular Biology 243
  • Immunology 54
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Xiao‐Kang Lun Switzerland
Christoph Ogris Sweden
Connor A. Jacobson United States
Devin Worster United States
Yutong Sha United States
Jonas Windhager Switzerland
Dale A. Begley United States
Erica S. Savig United States
Hayley E. Francies United Kingdom
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Citations per year

Countries citing papers authored by Benedict Anchang

Since Specialization
Citations

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

Fields of papers citing papers by Benedict Anchang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Benedict Anchang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Benedict Anchang Line = papers co-authored together Benedict Anchang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2019158
2 201680
3 200937
4 201836
5 201519
6 201415
7 202210
8 20226
9 20226
10 20135
11 20224
12 20233
13 20153
14 20092
15 20251
16 20181
17 20181
18 20241
19 20211
20 20250

About Benedict Anchang

Benedict Anchang is a scholar working on Molecular Biology, Immunology, Oncology, Cancer Research and Management Science and Operations Research, having authored 20 papers that have together received 389 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), Gene Regulatory Network Analysis (7 papers), Gene expression and cancer classification (4 papers), Cancer Genomics and Diagnostics (3 papers), T-cell and B-cell Immunology (3 papers), Optimal Experimental Design Methods (2 papers), Cell Image Analysis Techniques (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Biophysics (48 citations), Cancer Research (86 citations), Oncology (116 citations), Molecular Biology (243 citations) and Immunology (54 citations). Benedict Anchang has collaborated with scholars based in United States, Germany and Malaysia. Frequent co-authors include Sylvia K. Plevritis, Sean C. Bendall, Robert Tibshirani, Loukia Georgiou Karacosta, Samuel C. Kimmey, Nikolaos Ignatiadis, Jalen Benson, Joseph B. Shrager, Garry P. Nolan and Michael D. Linderman. Their work appears in journals such as Briefings in Bioinformatics, Proceedings of the National Academy of Sciences, Cancer Research, Nature Communications and PLoS ONE.

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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