Cornelia Hasel

2.2k citations
30 papers · 1.7k indexed · h-index 20

Impact in

  • Aging top 5%
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Cytokine Signaling Pathways and Interactions

Papers in

Cornelia Hasel

30 papers receiving 1.7k citations

Peers

Cornelia Hasel
Comparison fields: 5 of 100
  • Aging 39
  • Oncology 519
  • Genetics 170
  • Pathology and Forensic Medicine 284
  • Immunology 331
Replace Mark C. Wilkes with:
Mark C. Wilkes United States
Antonio Pellı́n Spain
Hiroko Ikeda Japan
Yan Y. Sanders United States
Meera Goyal United States
Andrew J. Haak United States
Joachim C. Mertens Switzerland
Anna Taranta Italy
S. C. Manolagas United States
Jan Zedenius Sweden
Cornelia Hasel relative to Mark C. Wilkes United States Mark C. Wilkes's profile →
Citations per field
00.5×2.6×
Mark C. Wilkes · 1×
Citations per year

Countries citing papers authored by Cornelia Hasel

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Hasel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006211
2 2004160
3 2002141
4 2003130
5 2009121
6 2006117
7 200796
8 200383
9 200878
10 200275
11 200861
12 200553
13 200142
14 200840
15 200635
16 200331
17 200630
18 200830
19 200128
20 200224

About Cornelia Hasel

Cornelia Hasel is a scholar working on Immunology, Immunology and Allergy, Oncology, Pathology and Forensic Medicine and Pharmacology, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (7 papers), Phagocytosis and Immune Regulation (6 papers), Pancreatitis Pathology and Treatment (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Cell death mechanisms and regulation (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cell Adhesion Molecules Research (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Aging (39 citations), Oncology (519 citations), Genetics (170 citations), Pathology and Forensic Medicine (284 citations) and Immunology (331 citations). Cornelia Hasel has collaborated with scholars based in Germany, Poland and United Kingdom. Frequent co-authors include Peter Möller, Silke Brüderlein, Ingo Melzner, Guido Adler, André Menke, Karola Dorsch, Peter Mӧller, Claudia Mueller, Alexander Köenig and Thomas F.E. Barth. Their work appears in journals such as Laboratory Investigation, Blood, The Journal of Pathology, International Journal of Cancer and American Journal of Physiology-Cell Physiology.

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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