Fàtima Sabench

2.3k citations
93 papers · 1.7k indexed · h-index 26

Impact in

  • Physiology top 5%
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism
    • Liver Disease Diagnosis and Treatment
    • Adipokines, Inflammation, and Metabolic Diseases

Papers in

Fàtima Sabench

85 papers receiving 1.7k citations

Peers

Fàtima Sabench
Comparison fields: 5 of 98
  • Physiology 596
  • Epidemiology 696
  • Endocrine and Autonomic Systems 132
  • Endocrinology, Diabetes and Metabolism 268
  • Surgery 548
Replace Rachel C. Janssen with:
Rachel C. Janssen United States
Hye Soo Chung South Korea
Shuhei Nakanishi Japan
Ki Won Oh South Korea
Hae Yoon Choi South Korea
Akira Katsuki Japan
Brenno Astiarraga Italy
Maria Adelaide Marini Italy
Jacek Dadan Poland
Graziana Lupattelli Italy
Fàtima Sabench relative to Rachel C. Janssen United States Rachel C. Janssen's profile →
Citations per field
00.5×1.5×1.9×
Rachel C. Janssen · 1×
Citations per year

Countries citing papers authored by Fàtima Sabench

Since Specialization
Citations

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

Fields of papers citing papers by Fàtima Sabench

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20249
4 20243
5 20231
6 20236
7 20235
8 20211
9 20219
10 20215
11 20203
12 20199
13 20183
14 201470
15 201413
16 201342
17 201221
18 20129
19 201028
20 20053

About Fàtima Sabench

Fàtima Sabench is a scholar working on Epidemiology, Endocrine and Autonomic Systems, Physiology, Surgery and Gastroenterology, having authored 93 papers that have together received 1.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (35 papers), Bariatric Surgery and Outcomes (35 papers), Diet and metabolism studies (25 papers), Body Contouring and Surgery (15 papers), Diet, Metabolism, and Disease (13 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Regulation of Appetite and Obesity (9 papers) and Lipid metabolism and disorders (8 papers). The work is most often cited by research in Physiology (596 citations), Epidemiology (696 citations), Endocrine and Autonomic Systems (132 citations), Endocrinology, Diabetes and Metabolism (268 citations) and Surgery (548 citations). Fàtima Sabench has collaborated with scholars based in Spain, Germany and Mexico. Frequent co-authors include Daniel Del Castillo, Teresa Auguet, Carmen Aguilar, Cristóbal Richart, Mercè Hernández, Daniel del Castillo Déjardin, José Antonio Porras, S. Martínez, Ximena Terra and Esther Guiu‐Jurado. Their work appears in journals such as International Journal of Molecular Sciences, Obesity Surgery, Obesity, European Journal of Clinical Investigation and International Journal of Obesity.

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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