Silvia Speca

2.1k citations
45 papers · 1.5k · h-index 20

Impact in

  • Genetics top 5%
    • Inflammatory Bowel Disease
    • Digestive system and related health
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • IL-33, ST2, and ILC Pathways

Papers in

Silvia Speca

45 papers receiving 1.5k citations

Peers

Silvia Speca
Comparison fields: 5 of 89
  • Genetics 421
  • Immunology 243
  • Oncology 177
  • Gastroenterology 34
  • Epidemiology 209
Replace Xiaojian Huang with:
Xiaojian Huang China
Shinobu Miyazaki‐Anzai United States
Hironaka Kawasaki Japan
Jaya P. Gnana‐Prakasam United States
Yan Xie China
Sharad Khare United States
Theodore C. Simon United States
Yoshito Hayashi Japan
Mutsunori Fujiwara Japan
Eva C. Vaquero Spain
Silvia Speca relative to Xiaojian Huang China Xiaojian Huang's profile →
Citations per field
00.5×1.5×1.9×
Xiaojian Huang · 1×
Citations per year

Countries citing papers authored by Silvia Speca

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Speca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012214
2 2012163
3 2014147
4 2014129
5 2020113
6
Can we prevent, reduce or reverse intestinal fibrosis in IBD?
201386
7 201583
8 201472
9 200757
10 200543
11 201141
12 201033
13 200833
14 201922
15 201822
16 201321
17 200821
18 201421
19 200820
20 201719

About Silvia Speca

Silvia Speca is a scholar working on Genetics, Molecular Biology, Immunology, Surgery and Pathology and Forensic Medicine, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Inflammatory Bowel Disease (10 papers), Digestive system and related health (5 papers), Immune Cell Function and Interaction (5 papers), Liver physiology and pathology (4 papers), Systemic Sclerosis and Related Diseases (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), IL-33, ST2, and ILC Pathways (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Genetics (421 citations), Immunology (243 citations), Oncology (177 citations), Gastroenterology (34 citations) and Epidemiology (209 citations). Silvia Speca has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Giovanni Latella, Pierre Desreumaux, Eugenio Gaudio, Antonella Vetuschi, Roberta Sferra, Shimon Reif, Christine Breynaert, Ian C. Lawrance, Gerhard Rogler and Giorgos Bamias. Their work appears in journals such as Gastroenterology, Frontiers in Immunology, Journal of Crohn s and Colitis, Journal of Medicinal Chemistry and World Journal of Gastroenterology.

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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