Reece M. Hoffmann

456 citations
14 papers · 331 · h-index 12

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis

Papers in

    • RNA and protein synthesis mechanisms 3
    • Ubiquitin and proteasome pathways 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Enzyme Catalysis and Immobilization 1
    • Cellular transport and secretion 4
    • Endoplasmic Reticulum Stress and Disease 2

Reece M. Hoffmann

14 papers receiving 330 citations

Peers

Reece M. Hoffmann
Comparison fields: 5 of 55
  • Cell Biology 110
  • Biochemistry 42
  • Physiology 16
  • Molecular Biology 223
  • Organic Chemistry 44
Replace Dahvid Davda with:
Dahvid Davda United States
Xiaoming Zhou China
Antonella Chiapparino Italy
Andreas Naschberger Austria
Jeannie L. Hernandez United States
Anant Vasudevan United States
Thurl E. Harris United States
Andrew P. AhYoung United States
Maria Antònia Noguera-Salvà Spain
Cheryl M. Ethen United States
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Citations per field
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Citations per year

Countries citing papers authored by Reece M. Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Reece M. Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reece M. Hoffmann. 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 Reece M. Hoffmann. The network helps show where Reece M. Hoffmann may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201952
2 202036
3 201835
4 201934
5 201828
6 202124
7 202024
8 201823
9 202119
10 202119
11 201915
12 201911
13 20229
14 20202

About Reece M. Hoffmann

Reece M. Hoffmann is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Biochemistry and Pathology and Forensic Medicine, having authored 14 papers that have together received 331 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Lipid metabolism and biosynthesis (3 papers), RNA and protein synthesis mechanisms (3 papers), Ubiquitin and proteasome pathways (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Enzyme Catalysis and Immobilization (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Cell Biology (110 citations), Biochemistry (42 citations), Physiology (16 citations), Molecular Biology (223 citations) and Organic Chemistry (44 citations). Reece M. Hoffmann has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include John E. Burke, David Hamelin, Michael V. Airola, Jacob A. McPhail, Meredith L. Jenkins, Huan Wang, Martin J. Boulanger, Karen Reue, Gillian L. Dornan and Calvin K. Yip. Their work appears in journals such as Nature Communications, Journal of Medicinal Chemistry, Journal of Biological Chemistry, EMBO Reports and eLife.

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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