Brian Hassell

850 citations
6 papers · 574 · 2 hit papers · h-index 5

Impact in

    • Clostridium difficile and Clostridium perfringens research
    • Viral gastroenteritis research and epidemiology
    • Gut microbiota and health
    • Extracellular vesicles in disease

Papers in

    • Gut microbiota and health 3
    • Genomics and Phylogenetic Studies 1
    • Autophagy in Disease and Therapy 2
    • Mycobacterium research and diagnosis 1

Brian Hassell

5 papers receiving 566 citations

Brian Hassell's Hit Papers

The gut microbiota reprograms intestinal lipid metabolism through long noncoding RNA Snhg9 2023 · 102 citations
1020+3+6Years since publication50100150200250

Peers

Brian Hassell
Comparison fields: 5 of 90
  • Infectious Diseases 109
  • Molecular Biology 341
  • Endocrinology 25
  • Epidemiology 150
  • Immunology 82
Replace Jamaal L. Benjamin with:
Jamaal L. Benjamin United States
Angela Tafaro Italy
Mihir Pendse United States
Sabrina Sonda Switzerland
Alfredo Chávez‐Arroyo United States
Elisabeth Kernbauer Austria
Laura Vaux United Kingdom
A. Marijke Keestra-Gounder United States
Constantinos Brikos United States
Yasumasa Kimura Japan
Brian Hassell relative to Jamaal L. Benjamin United States Jamaal L. Benjamin's profile →
Citations per field
00.5×6.6×
Jamaal L. Benjamin · 1×
Citations per year

Countries citing papers authored by Brian Hassell

Since Specialization
Citations

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

Fields of papers citing papers by Brian Hassell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Paneth cells secrete lysozyme via secretory autophagy during bacterial infection of the intestine
Hit paper breakdown →
2017279
2 2018121
3
The gut microbiota reprograms intestinal lipid metabolism through long noncoding RNA Snhg9
Hit paper breakdown →
2023102
4 202161
5 202311
6 20240

About Brian Hassell

Brian Hassell is a scholar working on Molecular Biology, Epidemiology, Ecology, Cell Biology and Nutrition and Dietetics, having authored 6 papers that have together received 574 indexed citations. Recurring topics across this work include Gut microbiota and health (3 papers), Autophagy in Disease and Therapy (2 papers), Mycobacterium research and diagnosis (1 paper), Vibrio bacteria research studies (1 paper), Inflammation biomarkers and pathways (1 paper), Cancer-related molecular mechanisms research (1 paper), Infant Nutrition and Health (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Infectious Diseases (109 citations), Molecular Biology (341 citations), Endocrinology (25 citations), Epidemiology (150 citations) and Immunology (82 citations). Brian Hassell has collaborated with scholars based in United States and China. Frequent co-authors include Lora V. Hooper, Sebastian Winter, Kelly A. Ruhn, Yuhao Wang, Mihir Pendse, Yun Li, Ramnik J. Xavier, Shai Bel, Wenhan Zhu and David Páez-Espino. Their work appears in journals such as Science, eLife, Proceedings of the National Academy of Sciences and Nature Microbiology.

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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