Eugene Buff

1.2k citations
11 papers · 1.0k · h-index 9

Impact in

    • Hippo pathway signaling and YAP/TAZ
    • Proteoglycans and glycosaminoglycans research
  • Aging top 5%

Papers in

    • Developmental Biology and Gene Regulation 4
    • Wnt/β-catenin signaling in development and cancer 2
    • Fibroblast Growth Factor Research 2
    • Ubiquitin and proteasome pathways 1
    • Hippo pathway signaling and YAP/TAZ 5
    • Proteoglycans and glycosaminoglycans research 1

Eugene Buff

11 papers receiving 1.0k citations

Peers

Eugene Buff
Comparison fields: 5 of 73
  • Cell Biology 471
  • Aging 46
  • Molecular Biology 849
  • Cellular and Molecular Neuroscience 196
  • Immunology 122
Replace Tatyana Y. Belenkaya with:
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Citations per field
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Citations per year

Countries citing papers authored by Eugene Buff

Since Specialization
Citations

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

Fields of papers citing papers by Eugene Buff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Eugene Buff, 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 Eugene Buff Line = papers co-authored together Eugene Buff links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1999319
2 1998127
3 2002120
4 1998115
5 199898
6 200689
7 201087
8 200542
9
Lin, X., Buff, E. M., Perrimon, N. & Michelson, A. M. Heparan sulfate proteoglycans are essential for FGF receptor signaling during Drosophila embryonic development. Development 126, 3715-3723
199942
10
[Complex instability in the system of hobo and stalker mobile element interaction in Drosophila melanogaster].
19933
11 20161

About Eugene Buff

Eugene Buff is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Immunology and Genetics, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (5 papers), Developmental Biology and Gene Regulation (4 papers), Invertebrate Immune Response Mechanisms (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Neurobiology and Insect Physiology Research (2 papers), Fibroblast Growth Factor Research (2 papers), Proteoglycans and glycosaminoglycans research (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cell Biology (471 citations), Aging (46 citations), Molecular Biology (849 citations), Cellular and Molecular Neuroscience (196 citations) and Immunology (122 citations). Eugene Buff has collaborated with scholars based in United States and Spain. Frequent co-authors include Alan M. Michelson, Stephen S. Gisselbrecht, Norbert Perrimon, Xinhua Lin, Ana Carmena, Fernando Jiménez, Iswar K. Hariharan, James B. Skeath, Kristin White and Brett J. Pellock. Their work appears in journals such as Development, Developmental Biology, Genetics, Molecular and Cellular Biology and Developmental Genetics.

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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