Mary Joan Castillo

936 citations
10 papers · 673 indexed · 1 hit paper · h-index 7

Mary Joan Castillo

10 papers receiving 641 citations

Hit Papers

Development of a synthetic live bacterial therapeutic for...4032018202620202023100200300400

Peers

Mary Joan Castillo
Comparison fields: 5 of 85
  • Biotechnology 147
  • Clinical Biochemistry 73
  • Molecular Biology 458
  • Food Science 110
  • Endocrinology 23
Replace David Lubkowicz with:
David Lubkowicz United States
Adam Fisher United States
Jai W. Shin United States
Matvei Khoroshkin United States
Grischa Y. Chen United States
Isabel Pérez‐Arellano Spain
Tadashi Idota Japan
Kelly Schwartz United States
Sachiko Okazaki Japan
Courtney Ardita United States
Mary Joan Castillo relative to David Lubkowicz United States David Lubkowicz's profile →
Citations per field
00.5×1.6×
David Lubkowicz · 1×
Citations per year

Countries citing papers authored by Mary Joan Castillo

Since Specialization
Citations

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

Fields of papers citing papers by Mary Joan Castillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Joan Castillo. 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 Mary Joan Castillo. The network helps show where Mary Joan Castillo may publish in the future.

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 202113
2 202176
3 2021105
4 202154
5
Development of a synthetic live bacterial therapeutic for the human metabolic disease phenylketonuriabreakdown →
2018403
6 20185
7 20182
8 20157
9 20147
10 20141

About Mary Joan Castillo

Mary Joan Castillo is a scholar working on Clinical Biochemistry, Biological Psychiatry and Biotechnology, having authored 10 papers that have together received 673 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Proteomics Techniques and Applications (3 papers), Gut microbiota and health (3 papers), Probiotics and Fermented Foods (2 papers), Cancer Research and Treatments (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Biotechnology (147 citations), Clinical Biochemistry (73 citations) and Molecular Biology (458 citations). Mary Joan Castillo has collaborated with scholars based in United States. Frequent co-authors include Vincent M. Isabella, Caroline Kurtz, David Lubkowicz, Munira Momin, Dean Falb, Ning Li, Yves Millet, Sarah E. Rowe, Adam Fisher and Paul Miller. Their work appears in journals such as Nature Communications, Nature Biotechnology and Analytical Chemistry.

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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