K. Garlaschelli

41 papers receiving 1.6k citations

Peers

K. Garlaschelli
Comparison fields: 5 of 87
  • Immunology 483
  • Clinical Biochemistry 97
  • Epidemiology 410
  • Cancer Research 157
  • Cardiology and Cardiovascular Medicine 226
Replace Sara Raselli with:
Sara Raselli Italy
Bruno Poirier France
Tjeerd Sijmonsma Germany
Radjesh J. Bisoendial Netherlands
Susanna Boquist Sweden
Sanae Teshigawara Japan
Akira Shouzu Japan
Johanna Weigert Germany
Yuelan Ren United States
Axel Muendlein Austria
K. Garlaschelli relative to Sara Raselli Italy Sara Raselli's profile →
Citations per field
00.5×3.2×
Sara Raselli · 1×
Citations per year

Countries citing papers authored by K. Garlaschelli

Since Specialization
Citations

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

Fields of papers citing papers by K. Garlaschelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007173
2 2007166
3 2012121
4 2018116
5 2010109
6 200893
7 201770
8 200569
9 200968
10 201367
11 200964
12 201259
13 200752
14 201449
15 201544
16 201442
17 201741
18 200640
19 201332
20 201731

About K. Garlaschelli

K. Garlaschelli is a scholar working on Immunology, Surgery, Epidemiology, Endocrinology, Diabetes and Metabolism and Physiology, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (8 papers), Lipoproteins and Cardiovascular Health (6 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Cancer, Lipids, and Metabolism (4 papers), Nutritional Studies and Diet (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Systemic Lupus Erythematosus Research (4 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Immunology (483 citations), Clinical Biochemistry (97 citations), Epidemiology (410 citations), Cancer Research (157 citations) and Cardiology and Cardiovascular Medicine (226 citations). K. Garlaschelli has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Alberico L. Catapano, Giuseppe Danilo Norata, Liliana Grigore, Sara Raselli, Andrea Baragetti, M. Ongari, Fabio Pellegatta, G. Buccianti, Enrico Ammirati and Elena Dozio. Their work appears in journals such as Atherosclerosis, Nutrition Metabolism and Cardiovascular Diseases, Journal of Internal Medicine, PLoS ONE and Journal of the American Heart Association.

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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