Ulrika Harmenberg

4.3k citations
59 papers · 1.8k · h-index 24

Impact in

Papers in

Ulrika Harmenberg

57 papers receiving 1.8k citations

Peers

Ulrika Harmenberg
Comparison fields: 5 of 82
  • Pulmonary and Respiratory Medicine 889
  • Oncology 535
  • Cancer Research 238
  • Immunology 239
  • Radiology, Nuclear Medicine and Imaging 221
Replace Faith E. Nathan with:
Faith E. Nathan United States
Yuji Ichiyoshi Japan
Lorenza Landi Italy
Eckart Laack Germany
Vincent van der Noort Netherlands
Marta Gil-Martín Spain
Francesco Facchinetti Italy
Kathryn P. Gray United States
Vera Gorbounova Russia
Bo H. Chao United States
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Citations per field
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Citations per year

Countries citing papers authored by Ulrika Harmenberg

Since Specialization
Citations

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

Fields of papers citing papers by Ulrika Harmenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016198
2 2017178
3 2009171
4 2013139
5 2008102
6 201381
7 200560
8 201258
9 199955
10 201854
11 202351
12 199950
13 201845
14 198843
15 201137
16
Tumor markers carbohydrate antigens CA 19-9 and CA-50 and carcinoembryonic antigen in pancreatic cancer and benign diseases of the pancreatobiliary tract.
198837
17 199336
18 201434
19 199729
20 201628

About Ulrika Harmenberg

Ulrika Harmenberg is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (25 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Cancer Genomics and Diagnostics (7 papers), Prostate Cancer Treatment and Research (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Renal and related cancers (4 papers), Immune Cell Function and Interaction (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (889 citations), Oncology (535 citations), Cancer Research (238 citations), Immunology (239 citations) and Radiology, Nuclear Medicine and Imaging (221 citations). Ulrika Harmenberg has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Börje Ljungberg, Sven Lundstam, Per Lindblad, Britta Wahrén, Andreas Thorstenson, Saeed Dabestani, Bernard Escudier, Sten Nilsson, Per Sandström and Anders Ullén. Their work appears in journals such as Journal of Clinical Oncology, Acta Oncologica, British Journal of Cancer, International Journal of Cancer and Annals of Oncology.

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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