Julia Billiard

2.4k citations
26 papers · 1.6k indexed · h-index 17

Julia Billiard

25 papers receiving 1.6k citations

Peers

Julia Billiard
Comparison fields: 5 of 106
  • Cancer Research 332
  • Molecular Biology 1.1k
  • Endocrinology, Diabetes and Metabolism 252
  • Oncology 304
  • Cell Biology 134
Replace Mayumi Jijiwa with:
Mayumi Jijiwa Japan
Thomas Trüb United States
Michelina Iacovino United States
Raymond R. Mattingly United States
Sabine Mazerbourg France
Tin Htwe Thin United States
Adam Denley Australia
Joseph L.‐K. Chan United States
Maria L. Macheda Australia
Jaideep Chaudhary United States
Julia Billiard relative to Mayumi Jijiwa Japan Mayumi Jijiwa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Julia Billiard

Since Specialization
Citations

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

Fields of papers citing papers by Julia Billiard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202014
3 201717
4 20172
5 2014374
6 201084
7 200910
8 2008113
9
Ror2, a novel modulator of osteogenesis.
20088
10 200774
11 200663
12 2005142
13 2004125
14 2003163
15 200360
16 200131
17 200126
18 199952
19 199967
20 199615

About Julia Billiard

Julia Billiard is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Cell Biology, Reproductive Medicine and Gastroenterology, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (7 papers), Cancer-related gene regulation (7 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Bone Metabolism and Diseases (3 papers), Respiratory viral infections research (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Cellular transport and secretion (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Cancer Research (332 citations), Molecular Biology (1.1k citations), Endocrinology, Diabetes and Metabolism (252 citations), Oncology (304 citations) and Cell Biology (134 citations). Julia Billiard has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Peter V.N. Bodine, Peter Rotwein, Joachim Woelfle, Robert A. Moran, Yan Liu, Laura Seestaller‐Wehr, Boris Rubin, Barry S. Komm, Donner F. Babcock and Bertil Hille. Their work appears in journals such as Journal of Cellular Biochemistry, Journal of Biological Chemistry, Molecular Endocrinology, Cell Metabolism and Bioorganic & Medicinal Chemistry Letters.

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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