Angelique M. Nelson

3.5k citations
20 papers · 2.3k indexed · h-index 17
Topics
Pluripotent Stem Cells Research (15 papers)CRISPR and Genetic Engineering (11 papers)Single-cell and spatial transcriptomics (3 papers)

In The Last Decade

Angelique M. Nelson

20 papers receiving 2.2k citations

Peers

Angelique M. Nelson
Comparison fields: 5 of 100
  • Molecular Biology 2.0k
  • Cancer Research 392
  • Biomedical Engineering 285
  • Surgery 260
  • Genetics 198
Replace Daisuke Shimosato with:
Daisuke Shimosato Japan
Jacob Zucker United States
Morag Robertson United Kingdom
Paul J. Gokhale United Kingdom
Douglas Colby United Kingdom
Masayoshi Maruyama Japan
Laura Batlle‐Morera Spain
Yoshimi Tokuzawa Japan
Kyuson Yun United States
Rupa Sridharan United States
Angelique M. Nelson relative to Daisuke Shimosato Japan Daisuke Shimosato's profile →
Citations per field
00.5×1.5×2.0×
Daisuke Shimosato · 1×
Citations per year

Countries citing papers authored by Angelique M. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Angelique M. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angelique M. Nelson. 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 Angelique M. Nelson. The network helps show where Angelique M. Nelson may publish in the future.

Co-authorship network of co-authors of Angelique M. Nelson

This figure shows the co-authorship network connecting the top 25 collaborators of Angelique M. Nelson. A scholar is included among the top collaborators of Angelique M. Nelson 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 Angelique M. Nelson. Angelique M. Nelson 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
#WorkIndexed citations
1 36
2 33
3 162
4 14
5 159
6 360
7 87
8 23
9 123
10 364
11 134
12 40
13 247
14 237
15 50
16 97
17 68
18 31
19 6
20 5

About Angelique M. Nelson

Angelique M. Nelson is a scholar working on Molecular Biology, Cancer Research and Genetics, having authored 20 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (11 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Cancer Research (392 citations) and Aging (30 citations). Angelique M. Nelson has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Carol B. Ware, C. Anthony Blau, Hannele Ruohola‐Baker, Daniel G. Miller, Michael Kyba, Lauren Snider, Galina N. Filippova, Stephen J. Tapscott, Linda N. Geng and Silvère M. van der Maarel. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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