Charelle Boot

1.5k citations
20 papers · 1.1k · h-index 13

Impact in

    • Tuberculosis Research and Epidemiology
  • Immunology top 10%
    • Immune responses and vaccinations
    • Immunodeficiency and Autoimmune Disorders

Papers in

Charelle Boot

19 papers receiving 1.0k citations

Peers

Charelle Boot
Comparison fields: 5 of 84
  • Infectious Diseases 329
  • Immunology 332
  • Oncology 193
  • Gastroenterology 22
  • Epidemiology 136
Replace Stella E. Autenrieth with:
Stella E. Autenrieth Germany
Xiaohui Sem Switzerland
Naren Srinivasan United Kingdom
Zhuang Li China
Chien‐Wen Su United States
Stephanie K. Lathrop United States
John W. McGinty United States
Harpreet Vohra India
Véronique M J Schulten United States
Bibo Zhu China
Charelle Boot relative to Stella E. Autenrieth Germany Stella E. Autenrieth's profile →
Citations per field
00.5×1.5×2.2×
Stella E. Autenrieth · 1×
Citations per year

Countries citing papers authored by Charelle Boot

Since Specialization
Citations

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

Fields of papers citing papers by Charelle Boot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Charelle Boot, 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 Charelle Boot Line = papers co-authored together Charelle Boot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2019234
2 2021196
3 2020168
4 202287
5 202171
6 202467
7 202137
8 202233
9 201931
10 202028
11 202419
12 202019
13 198914
14 202113
15 202211
16 198811
17 20218
18 20227
19 20212
20 20260

About Charelle Boot

Charelle Boot is a scholar working on Infectious Diseases, Immunology, Oncology, Surgery and Parasitology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Immune responses and vaccinations (5 papers), Cancer Cells and Metastasis (4 papers), Mycobacterium research and diagnosis (3 papers), Genetic factors in colorectal cancer (3 papers), Pancreatic function and diabetes (3 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Infectious Diseases (329 citations), Immunology (332 citations), Oncology (193 citations), Gastroenterology (22 citations) and Epidemiology (136 citations). Charelle Boot has collaborated with scholars based in Netherlands, United Kingdom and Spain. Frequent co-authors include Hans C. Clevers, Jens Puschhof, Joep Beumer, Adriana Martínez-Silgado, Claudia C. Sombroek, Frank A. W. Verreck, Cayetano Pleguezuelos‐Manzano, Aurelia Saftien, Krista G. Haanstra and Richard A. W. Vervenne. Their work appears in journals such as npj Vaccines, Parasitology, Cell, F1000Research and Cell Reports Medicine.

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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