Daniel Corsiero

557 citations
13 papers · 495 · h-index 10

Impact in

  • Oncology top 10%
    • Drug Transport and Resistance Mechanisms
  • Surgery top 10%
    • Cholesterol and Lipid Metabolism
    • Pediatric Hepatobiliary Diseases and Treatments

Papers in

    • Drug Transport and Resistance Mechanisms 10
    • Cholesterol and Lipid Metabolism 6

Daniel Corsiero

13 papers receiving 452 citations

Peers

Daniel Corsiero
Comparison fields: 5 of 59
  • Oncology 314
  • Surgery 266
  • Biochemistry 36
  • Pediatrics, Perinatology and Child Health 78
  • Nutrition and Dietetics 44
Replace Simone Kowalewski with:
Simone Kowalewski Germany
Yolanda Romsicki Canada
Ulrike Gutjahr Germany
A Kibe Japan
Alessia Francesca Mozzi Italy
Pamela A. Marino United States
S. Harigae Japan
Sarah Goldenberg United States
Giancarlo Lunazzi Italy
Eric Y. Zhang United States
Daniel Corsiero relative to Simone Kowalewski Germany Simone Kowalewski's profile →
Citations per field
00.5×1.7×
Simone Kowalewski · 1×
Citations per year

Countries citing papers authored by Daniel Corsiero

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Corsiero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2004103
2 1999101
3 200053
4 199848
5 200139
6 199738
7 200137
8 200332
9 200323
10 20069
11 19998
12 19993
13 20071

About Daniel Corsiero

Daniel Corsiero is a scholar working on Oncology, Surgery, Molecular Biology, Pediatrics, Perinatology and Child Health and Organic Chemistry, having authored 13 papers that have together received 495 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (10 papers), Cholesterol and Lipid Metabolism (6 papers), Ion Transport and Channel Regulation (2 papers), Synthesis of β-Lactam Compounds (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Steroid Chemistry and Biochemistry (2 papers), Pharmacological Effects and Toxicity Studies (2 papers) and Glycogen Storage Diseases and Myoclonus (2 papers). The work is most often cited by research in Oncology (314 citations), Surgery (266 citations), Biochemistry (36 citations), Pediatrics, Perinatology and Child Health (78 citations) and Nutrition and Dietetics (44 citations). Daniel Corsiero has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Frank Girbig, Werner Kramer, Siegfried Stengelin, H. Heuer, Karl‐Heinz Baringhaus, Alfons Enhsen, Heiner Glombik, Wendelin Frick, Wolfgang Becker and Friedrich Lottspeich. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Journal of Lipid Research, Bioorganic & Medicinal Chemistry and European Journal of Biochemistry.

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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