Bari Gabbitas

870 citations
18 papers · 641 · h-index 15

Impact in

Papers in

    • Growth Hormone and Insulin-like Growth Factors 16
    • Thyroid Disorders and Treatments 2
    • TGF-β signaling in diseases 8
    • Bone Metabolism and Diseases 5
    • Retinoids in leukemia and cellular processes 3
    • Metabolism, Diabetes, and Cancer 2

Bari Gabbitas

18 papers receiving 627 citations

Peers

Bari Gabbitas
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 289
  • Orthopedics and Sports Medicine 85
  • Cancer Research 122
  • Oncology 136
  • Molecular Biology 369
Replace M.-C. Faugere with:
M.-C. Faugere United States
S. Mohan United States
Rune Jemtland Norway
Tomoo Yamate United States
Carmen Huesa United Kingdom
Charmaine Richman United States
Elizabeth C. Wahl United States
Ami Ozasa Japan
C. Wennberg Sweden
E. Futo Switzerland
Bari Gabbitas relative to M.-C. Faugere United States M.-C. Faugere's profile →
Citations per field
00.5×1.5×1.8×
M.-C. Faugere · 1×
Citations per year

Countries citing papers authored by Bari Gabbitas

Since Specialization
Citations

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

Fields of papers citing papers by Bari Gabbitas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Bari Gabbitas, 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 Bari Gabbitas Line = papers co-authored together Bari Gabbitas links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 1995104
2 199380
3 199379
4 199654
5 199640
6 199540
7 199635
8 199434
9 199431
10 199628
11 199726
12 199724
13 199517
14 199816
15 199815
16 199410
17 19956
18 19972

About Bari Gabbitas

Bari Gabbitas is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cancer Research, Genetics and Genetics, having authored 18 papers that have together received 641 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (16 papers), Cancer, Hypoxia, and Metabolism (9 papers), TGF-β signaling in diseases (8 papers), Bone Metabolism and Diseases (5 papers), Retinoids in leukemia and cellular processes (3 papers), Thyroid Disorders and Treatments (2 papers), Genetic Syndromes and Imprinting (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (289 citations), Orthopedics and Sports Medicine (85 citations), Cancer Research (122 citations), Oncology (136 citations) and Molecular Biology (369 citations). Bari Gabbitas has collaborated with scholars based in United States. Frequent co-authors include Ernesto Canalis, Anne M. Delany, James M. Pash, Joy Varghese, Sheila Rydziel, Lawrence G. Raisz, Thomas L. McCarthy, Pamela Fall, Barbara E. Kream and John J. Jeffrey. Their work appears in journals such as Endocrinology, Journal of Cellular Physiology, Journal of Cellular Biochemistry, Journal of Biological Chemistry and Journal of Bone and Mineral Research.

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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