Patrick A. Leggieri

411 citations
10 papers · 200 · h-index 7

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 4
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Bioinformatics and Genomic Networks 1
    • Biofuel production and bioconversion 4

Patrick A. Leggieri

9 papers receiving 198 citations

Peers

Patrick A. Leggieri
Comparison fields: 5 of 57
  • Fluid Flow and Transfer Processes 19
  • Biomedical Engineering 106
  • Biotechnology 20
  • Agronomy and Crop Science 15
  • Molecular Biology 97
Replace Heiko Dietz with:
Heiko Dietz Germany
Luciana Alves de Oliveira Brazil
Roberto Olivares‐Hernández Mexico
Keerthi P. Venkataramanan United States
Arushdeep Sidana India
N. Mukta India
C. Lavanya India
Seshu B. Tummala United States
Shiping Liu China
Moon‐Ho Eom South Korea
Patrick A. Leggieri relative to Heiko Dietz Germany Heiko Dietz's profile →
Citations per field
00.5×
Heiko Dietz · 1×
Citations per year

Countries citing papers authored by Patrick A. Leggieri

Since Specialization
Citations

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

Fields of papers citing papers by Patrick A. Leggieri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick A. Leggieri. 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 Patrick A. Leggieri. The network helps show where Patrick A. Leggieri may publish in the future.

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202147
2 201842
3 201940
4 202138
5 202111
6 20209
7 20228
8 20233
9 20242
10 20250

About Patrick A. Leggieri

Patrick A. Leggieri is a scholar working on Molecular Biology, Biomedical Engineering, Food Science, Pharmacology and Control and Systems Engineering, having authored 10 papers that have together received 200 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (4 papers), Biofuel production and bioconversion (4 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Microbial Inactivation Methods (1 paper), Fungal Biology and Applications (1 paper), Process Optimization and Integration (1 paper), Bioinformatics and Genomic Networks (1 paper) and Microbial Community Ecology and Physiology (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (19 citations), Biomedical Engineering (106 citations), Biotechnology (20 citations), Agronomy and Crop Science (15 citations) and Molecular Biology (97 citations). Patrick A. Leggieri has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Michelle O’Malley, Lindsay Soh, Michael Senra, Susanna Seppälä, Thomas S. Lankiewicz, Megan T. Valentine, Ophelia S. Venturelli, Yiyi Liu, St. Elmo Wilken and Michael K. Theodorou. Their work appears in journals such as Bioresource Technology, Current Opinion in Biotechnology, AIChE Journal, Microbial Cell Factories and Annual Review of Biomedical Engineering.

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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