J. Andersen

2.2k citations
44 papers · 872 · h-index 16

Impact in

    • Breast Cancer Treatment Studies
    • Protease and Inhibitor Mechanisms
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

J. Andersen

42 papers receiving 832 citations

Peers

J. Andersen
Comparison fields: 5 of 95
  • Cancer Research 272
  • Hematology 179
  • Health Informatics 19
  • Oncology 293
  • Immunology and Allergy 55
Replace Chun-Yuan Yu with:
Chun-Yuan Yu China
Siew‐Kee Low Japan
Matthew J. Rioth United States
Wanming Hu China
Hiro Shimada United States
Phillip Brenner Australia
G Ghilardi Italy
Oscar Brück Finland
Amie Y. Lee United States
Lian Xu China
J. Andersen relative to Chun-Yuan Yu China Chun-Yuan Yu's profile →
Citations per field
00.5×7.8×
Chun-Yuan Yu · 1×
Citations per year

Countries citing papers authored by J. Andersen

Since Specialization
Citations

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

Fields of papers citing papers by J. Andersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The immunophenotype of acute promyelocytic leukemia (APL): an ECOG study.
1994103
2 199888
3 201882
4 198657
5 198855
6 201955
7 199753
8 198831
9 200330
10 199330
11 199027
12 199924
13
Immunoreactive opioid peptides in human breast cancer.
198924
14 202022
15 200121
16 199116
17 198815
18 199214
19 198813
20
Classical prognostic factors in node-negative breast cancer: the DBCG experience.
199213

About J. Andersen

J. Andersen is a scholar working on Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Molecular Biology, having authored 44 papers that have together received 872 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (12 papers), Breast Cancer Treatment Studies (12 papers), Retinal Imaging and Analysis (7 papers), HER2/EGFR in Cancer Research (6 papers), Retinal Diseases and Treatments (5 papers), Digital Imaging for Blood Diseases (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Cancer Research (272 citations), Hematology (179 citations), Health Informatics (19 citations), Oncology (293 citations) and Immunology and Allergy (55 citations). J. Andersen has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Hans Skovgaard Poulsen, Thiusius Rajeeth Savarimuthu, Jakob Grauslund, Hemming Poulsen, Carsten Rose, Elisabeth Paietta, Torben Ørntoft, Juan J. Yunis, Torben F. Ørntoft and Jens Overgaard. Their work appears in journals such as European Journal of Cancer, British Journal of Cancer, Acta Oncologica, Blood and Acta Ophthalmologica.

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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