Ditta Pfaffinger

469 citations
14 papers · 325 · h-index 9

Impact in

  • Biochemistry top 10%
    • Antioxidant Activity and Oxidative Stress
    • Protease and Inhibitor Mechanisms
    • Cancer, Lipids, and Metabolism

Papers in

    • Lipoproteins and Cardiovascular Health 9
    • Protease and Inhibitor Mechanisms 7
    • Cancer, Lipids, and Metabolism 2

Ditta Pfaffinger

14 papers receiving 312 citations

Peers

Ditta Pfaffinger
Comparison fields: 5 of 37
  • Biochemistry 41
  • Cancer Research 89
  • Surgery 200
  • Immunology 83
  • Immunology and Allergy 20
Replace Fernando Sabatel-Pérez with:
Fernando Sabatel-Pérez Spain
Montserrat Estruch Spain
Fong To Sweden
Yoshimi Sugama Japan
Eriko Nakano Japan
Haiyu Shao China
Rohini Rao United States
Stephanie DerOhannessian United States
B. Wiman Sweden
Ryoko Shiga Japan
Ditta Pfaffinger relative to Fernando Sabatel-Pérez Spain Fernando Sabatel-Pérez's profile →
Citations per field
00.5×3.7×
Fernando Sabatel-Pérez · 1×
Citations per year

Countries citing papers authored by Ditta Pfaffinger

Since Specialization
Citations

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

Fields of papers citing papers by Ditta Pfaffinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Ditta Pfaffinger, 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 Ditta Pfaffinger Line = papers co-authored together Ditta Pfaffinger links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2003119
2 199453
3 199538
4 200121
5 200119
6 201018
7 200817
8 199415
9 19938
10 20046
11 20103
12 20083
13 19963
14 19952

About Ditta Pfaffinger

Ditta Pfaffinger is a scholar working on Surgery, Cancer Research, Immunology, Hematology and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 325 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Protease and Inhibitor Mechanisms (7 papers), Atherosclerosis and Cardiovascular Diseases (4 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Antioxidant Activity and Oxidative Stress (3 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Biochemistry (41 citations), Cancer Research (89 citations), Surgery (200 citations), Immunology (83 citations) and Immunology and Allergy (20 citations). Ditta Pfaffinger has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Angelo M. Scanu, Celina Edelstein, John C. Lee, Joseph L. Witztum, Gregory M. Lipkind, Elizabeth R. Miller, Sotirios Tsimikas, Godfrey S. Getz, Claes Bergmark and Kei Nakajima. Their work appears in journals such as Biochemistry, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology and Chemistry and Physics of Lipids.

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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