Fresnida J. Ramos

2.8k citations
16 papers · 2.2k indexed · 1 hit paper · h-index 14
Topics
Metabolism, Diabetes, and Cancer (6 papers)Protein Kinase Regulation and GTPase Signaling (4 papers)Genetics, Aging, and Longevity in Model Organisms (3 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Fresnida J. Ramos

16 papers receiving 2.2k citations

Hit Papers

APPL1 binds to adiponectin receptors and mediates adipone...20062026201220192006100200300400500

Peers

Fresnida J. Ramos
Comparison fields: 5 of 100
  • Molecular Biology 1.4k
  • Physiology 638
  • Epidemiology 612
  • Aging 315
  • Endocrine and Autonomic Systems 226
Replace Alessandro Bitto with:
Alessandro Bitto United States
Olli Matilainen Finland
Antonello Lorenzini Italy
Marie‐France Champy France
Emanuele Loro United States
Jenni Durieux United States
Kristopher Burkewitz United States
Judith Y. Altarejos United States
Xin Tong United States
Fresnida J. Ramos relative to Alessandro Bitto United States Alessandro Bitto's profile →
Citations per field
00.5×2.7×
Alessandro Bitto · 1×
Citations per year

Countries citing papers authored by Fresnida J. Ramos

Since Specialization
Citations

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

Fields of papers citing papers by Fresnida J. Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fresnida J. Ramos

This figure shows the co-authorship network connecting the top 25 collaborators of Fresnida J. Ramos. A scholar is included among the top collaborators of Fresnida J. Ramos 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 Fresnida J. Ramos. Fresnida J. Ramos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 106
2 401
3 13
4 278
5 35
6 195
7 15
8 115
9 109
10 45
11
APPL1 binds to adiponectin receptors and mediates adiponectin signalling and functionbreakdown →
550
12 57
13 97
14 50
15 10
16 111

About Fresnida J. Ramos

Fresnida J. Ramos is a scholar working on Aging, Molecular Biology and Physiology, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (315 citations), Endocrine and Autonomic Systems (226 citations) and Physiology (638 citations). Fresnida J. Ramos has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Lily Dong, Feng Liu, Matt Kaeberlein, Paul R. Langlais, Ramon Riojas, Chintan K. Kikani, Xuming Mao, Christine Y. Christ-Roberts, Qichen Fang and Lixin Wang. Their work appears in journals such as Science, Journal of Biological Chemistry and Nature Cell Biology.

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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