T.J. Martin

1.1k citations
13 papers · 878 indexed · 1 hit paper · h-index 6
Topics
Bone health and treatments (6 papers)Fibroblast Growth Factor Research (2 papers)Receptor Mechanisms and Signaling (2 papers)

In The Last Decade

T.J. Martin

12 papers receiving 856 citations

Hit Papers

Estrogen Prevents Bone Loss via Estrogen Receptor α and I...20072026201320192007250500750

Peers

T.J. Martin
Comparison fields: 5 of 89
  • Molecular Biology 628
  • Oncology 350
  • Orthopedics and Sports Medicine 234
  • Genetics 199
  • Cancer Research 78
Replace Shigeaki Kato with:
Shigeaki Kato Japan
Xiaoyan Tian United States
A Gallagher United Kingdom
Din‐Lii Lin United States
Robert Kalak Australia
Jiyoon Ryu United States
Dana Gaddy-Kurten United States
Kevin McAndrews United States
Riccardo Chiusaroli United States
Angela M. Inzerillo United States
T.J. Martin relative to Shigeaki Kato Japan Shigeaki Kato's profile →
Citations per field
00.5×1.5×
Shigeaki Kato · 1×
Citations per year

Countries citing papers authored by T.J. Martin

Since Specialization
Citations

This map shows the geographic impact of T.J. Martin'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 T.J. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.J. Martin more than expected).

Fields of papers citing papers by T.J. Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T.J. Martin. 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 T.J. Martin. The network helps show where T.J. Martin may publish in the future.

Co-authorship network of co-authors of T.J. Martin

This figure shows the co-authorship network connecting the top 25 collaborators of T.J. Martin. A scholar is included among the top collaborators of T.J. Martin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T.J. Martin. T.J. Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 5
2 5
3 8
4 2
5
Bone Remodeling: Cellular and Molecular Events
1
6
Estrogen Prevents Bone Loss via Estrogen Receptor α and Induction of Fas Ligand in Osteoclastsbreakdown →
777
7 24
8 3
9 1
10 0
11 3
12 45
13 4

About T.J. Martin

T.J. Martin is a scholar working on Oncology, Immunology and Orthopedics and Sports Medicine, having authored 13 papers that have together received 878 indexed citations. Recurring topics across this work include Bone health and treatments (6 papers), Fibroblast Growth Factor Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (234 citations), Oncology (350 citations) and Molecular Biology (628 citations). T.J. Martin has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Shingo Sato, Andrée Krust, Shu Takeda, Yoshiaki Azuma, Daniel Metzger, Jun Kanno, Takahiro Μatsumoto, Hiroshi Nishina, Yoshifumi Harada and Hiroshi Takayanagi. Their work appears in journals such as Cell, Journal of Pharmacology and Experimental Therapeutics and Bone.

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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