Rowena D. Devlin

2.0k citations
20 papers · 1.7k · h-index 17

Impact in

Papers in

    • Bone Metabolism and Diseases 9
    • S100 Proteins and Annexins 2
    • Fibroblast Growth Factor Research 2
    • TGF-β signaling in diseases 2
    • Bone health and treatments 8
    • Peptidase Inhibition and Analysis 3

Rowena D. Devlin

20 papers receiving 1.6k citations

Peers

Rowena D. Devlin
Comparison fields: 5 of 96
  • Orthopedics and Sports Medicine 273
  • Oncology 709
  • Hematology 262
  • Molecular Biology 872
  • Rheumatology 167
Replace T Tamura with:
T Tamura Japan
Claudine Blin‐Wakkach France
Berno Dankbar Germany
Shigeru Ishiyama Japan
S. Niemi Finland
Nisreen Akel United States
Inaam A. Nakchbandi Germany
Ichiro Itonaga Japan
Richard W. Nicholas United States
Boguslaw Rucinski United States
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Citations per field
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Citations per year

Countries citing papers authored by Rowena D. Devlin

Since Specialization
Citations

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

Fields of papers citing papers by Rowena D. Devlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rowena D. Devlin. 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 Rowena D. Devlin. The network helps show where Rowena D. Devlin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2000339
2 1990217
3 1996171
4 2003165
5 199897
6 199996
7 199493
8 199987
9 200285
10 200065
11 199852
12 199849
13 199545
14 197934
15 199534
16 200333
17 199831
18 199411
19 19909
20 19818

About Rowena D. Devlin

Rowena D. Devlin is a scholar working on Molecular Biology, Oncology, Hematology, Rheumatology and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (9 papers), Bone health and treatments (8 papers), Peptidase Inhibition and Analysis (3 papers), S100 Proteins and Annexins (2 papers), Fibroblast Growth Factor Research (2 papers), Bone and Joint Diseases (2 papers), Multiple Myeloma Research and Treatments (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (273 citations), Oncology (709 citations), Hematology (262 citations), Molecular Biology (872 citations) and Rheumatology (167 citations). Rowena D. Devlin has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include G. David Roodman, Sun Jin Choi, Ho-Yeon Chung, Sakamuri V. Reddy, Fiona E. Craig, Melissa Alsina, Henry G. Bone, José C. Cruz, Ernesto Canalis and Zhibin Du. Their work appears in journals such as Journal of Bone and Mineral Research, Endocrinology, Journal of Clinical Investigation, Blood and Journal of Biological Chemistry.

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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