Angelica Trejo

3.6k citations
12 papers · 2.6k indexed · 1 hit paper · h-index 10
Topics
Single-cell and spatial transcriptomics (4 papers)Cell Image Analysis Techniques (4 papers)Immunotherapy and Immune Responses (2 papers)

In The Last Decade

Angelica Trejo

12 papers receiving 2.6k citations

Hit Papers

Single-Cell Mass Cytometry of Differential Immune and Dru...2011202620162021201150010001.5k

Peers

Angelica Trejo
Comparison fields: 5 of 122
  • Molecular Biology 1.7k
  • Immunology 806
  • Oncology 420
  • Biomedical Engineering 357
  • Biophysics 351
Replace Astraea Jager with:
Astraea Jager United States
D J Kwiatkowski United States
Vladimir Ponomarev United States
Aki Hanyu Japan
Ina Radtke Germany
Mohammad Fallahi‐Sichani United States
Banafshé Larijani United Kingdom
Leo M. Carlin United Kingdom
Ian F. Dunn United States
Shuchun Zhao United States
Angelica Trejo relative to Astraea Jager United States Astraea Jager's profile →
Citations per field
00.5×3.4×
Astraea Jager · 1×
Citations per year

Countries citing papers authored by Angelica Trejo

Since Specialization
Citations

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

Fields of papers citing papers by Angelica Trejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelica Trejo

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 36
2 23
3 17
4 2
5 42
6 1
7 264
8
Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuumbreakdown →
1700
9 88
10 65
11 18
12 352

About Angelica Trejo

Angelica Trejo is a scholar working on Biophysics, Immunology and Hematology, having authored 12 papers that have together received 2.6k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Cell Image Analysis Techniques (4 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Biophysics (351 citations), Immunology (806 citations) and Developmental Neuroscience (101 citations). Angelica Trejo has collaborated with scholars based in United States, Denmark and Israel. Frequent co-authors include Garry P. Nolan, Peter O. Krutzik, Karen Sachs, Rachel Melamed, Olga Ornatsky, Robert Balderas, Robert V. Bruggner, Dana Pe’er, Peng Qiu and Rachel Finck. Their work appears in journals such as Science, Cell and Blood.

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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