Phyllis LuValle

31 papers receiving 1.5k citations

Peers

Phyllis LuValle
Comparison fields: 5 of 99
  • Immunology and Allergy 329
  • Rheumatology 493
  • Cancer Research 230
  • Genetics 333
  • Molecular Biology 803
Replace Ruggero Tenni with:
Ruggero Tenni Italy
Suzanne B. Golub Australia
Anita Woods Canada
James M. Pace United States
Yefu Li United States
Sirpa Kontusaari United States
John P. Pennypacker United States
Tet-Kin Yeo United States
Birgit Kobbe Germany
Kerstin Tiedemann Canada
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Citations per field
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Citations per year

Countries citing papers authored by Phyllis LuValle

Since Specialization
Citations

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

Fields of papers citing papers by Phyllis LuValle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993196
2 1999150
3 1997146
4 2001121
5 198885
6 199982
7 199882
8 200066
9 199254
10 199250
11 199943
12 198941
13 200239
14 200037
15 198536
16
Organization and regulation of collagen genes.
199135
17 200731
18
A dominant negative mutation in the alpha 1 (X) collagen gene produces spondylometaphyseal defects in mice.
199328
19 199427
20 198727

About Phyllis LuValle

Phyllis LuValle is a scholar working on Molecular Biology, Immunology and Allergy, Cancer Research, Genetics and Oncology, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (12 papers), NF-κB Signaling Pathways (9 papers), Connective tissue disorders research (7 papers), Osteoarthritis Treatment and Mechanisms (5 papers), Cancer-related Molecular Pathways (5 papers), Collagen: Extraction and Characterization (5 papers), Ubiquitin and proteasome pathways (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Immunology and Allergy (329 citations), Rheumatology (493 citations), Cancer Research (230 citations), Genetics (333 citations) and Molecular Biology (803 citations). Phyllis LuValle has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Frank Beier, Bjørn R. Olsen, Olena Jacenko, Richard G. Pestell, Jeffrey M. Davidson, Richard J. Lee, Ornella Zoia, Daniela Quaglino, Björn Olsén and Norman D. Rosenblum. Their work appears in journals such as Journal of Cellular Biochemistry, Journal of Biological Chemistry, Matrix Biology, Biochemical and Biophysical Research Communications and Frontiers in bioscience.

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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