Gener C Balmes

1.3k citations
7 papers · 823 · h-index 3

Impact in

  • Rheumatology top 10%
    • Osteoarthritis Treatment and Mechanisms
    • Connective tissue disorders research
    • Mesenchymal stem cell research

Papers in

Gener C Balmes

7 papers receiving 810 citations

Peers

Gener C Balmes
Comparison fields: 5 of 78
  • Rheumatology 155
  • Genetics 79
  • Genetics 215
  • Molecular Biology 517
  • Cancer Research 100
Replace Ronald L. Chandler with:
Ronald L. Chandler United States
Ung Il Chung United States
Eiman T. Sebald United States
Changshan Wu United States
Danielle R. Rux United States
Philip Sohn United States
Tomoyo Sasaki United States
Yoshihiro Tamamura Japan
Elena A Kozhemyakina United States
Laura Tonachini Italy
Gener C Balmes relative to Ronald L. Chandler United States Ronald L. Chandler's profile →
Citations per field
00.5×1.7×
Ronald L. Chandler · 1×
Citations per year

Countries citing papers authored by Gener C Balmes

Since Specialization
Citations

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

Fields of papers citing papers by Gener C Balmes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gener C Balmes. 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 Gener C Balmes. The network helps show where Gener C Balmes may publish in the future.

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2005493
2 2009197
3 2008124
4 20193
5 20213
6 20192
7
ERK1 and ERK2 play essential roles in osteoblast differentiation and in supporting osteoclastogenesis
20091

About Gener C Balmes

Gener C Balmes is a scholar working on Ophthalmology, Biotechnology, Immunology, Molecular Biology and Genetics, having authored 7 papers that have together received 823 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (3 papers), Cancer Research and Treatments (2 papers), Immunotherapy and Immune Responses (2 papers), Ocular Oncology and Treatments (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper), Animal Genetics and Reproduction (1 paper), dental development and anomalies (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Rheumatology (155 citations), Genetics (79 citations), Genetics (215 citations), Molecular Biology (517 citations) and Cancer Research (100 citations). Gener C Balmes has collaborated with scholars based in United States, Japan and Czechia. Frequent co-authors include H. Akiyama, Jian Min Deng, Richard R. Behringer, Takashi Nakamura, Kazuhisa Nakashima, Zhaoping Zhang, Jung‐Eun Kim, Naomi Iwai, James F. Martin and Benoît De Crombrugghe. Their work appears in journals such as Annals of Oncology, Human Molecular Genetics, Molecular and Cellular Biology and Proceedings of the National Academy of Sciences.

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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