Carmen Fonseca

3.4k citations
31 papers · 1.2k indexed · h-index 15
Topics
Systemic Sclerosis and Related Diseases (22 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers)Mast cells and histamine (6 papers)

In The Last Decade

Carmen Fonseca

28 papers receiving 1.2k citations

Peers

Carmen Fonseca
Comparison fields: 5 of 75
  • Pathology and Forensic Medicine 677
  • Pulmonary and Respiratory Medicine 451
  • Molecular Biology 345
  • Epidemiology 288
  • Immunology 258
Replace Tetsuo Toyama with:
Tetsuo Toyama Japan
Masanari Kodera Japan
Yohei Ichimura Japan
Marie Wildt Sweden
Akio Yamakage Japan
Giuseppina Abignano United Kingdom
C.P. Denton United Kingdom
Yves Troyanov Canada
Yoshitaka Imura Japan
Cristina M. Padilla United States
Carmen Fonseca relative to Tetsuo Toyama Japan Tetsuo Toyama's profile →
Citations per field
00.5×1.5×
Tetsuo Toyama · 1×
Citations per year

Countries citing papers authored by Carmen Fonseca

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Fonseca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carmen Fonseca

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 8
4 2
5 18
6 15
7 161
8 4
9 73
10 11
11 48
12 19
13 14
14 152
15 14
16 41
17 19
18 6
19 148
20 8

About Carmen Fonseca

Carmen Fonseca is a scholar working on Pathology and Forensic Medicine, Immunology and Dermatology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (22 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (7 papers) and Mast cells and histamine (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (677 citations), Dermatology (198 citations) and Pulmonary and Respiratory Medicine (451 citations). Carmen Fonseca has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Christopher P. Denton, Voon H Ong, Elisabetta Renzoni, David Abraham, David Abraham, Shiwen Xu, Alan Holmes, Gisela Lindahl, Pia Moinzadeh and Ami A. Shah. Their work appears in journals such as Science, New England Journal of Medicine and Nature Communications.

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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