Caj Haglund

2k citations
51 papers · 1.6k · h-index 26

Impact in

Papers in

    • Protease and Inhibitor Mechanisms 5
    • Breast Cancer Treatment Studies 4
    • Pancreatic and Hepatic Oncology Research 9
    • Polyomavirus and related diseases 3

Caj Haglund

51 papers receiving 1.6k citations

Peers

Caj Haglund
Comparison fields: 5 of 74
  • Cancer Research 299
  • Otorhinolaryngology 105
  • Oncology 353
  • Cell Biology 141
  • Immunology and Allergy 35
Replace Yoshiyasu Nakamura with:
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R. A. Walker United Kingdom
Mitsuo Yoshinouchi Japan
Sai‐Wah Tsao Hong Kong
Tingting Zeng China
Yukishige Yamada Japan
Robert Veve United States
De‐Wei Wu Taiwan
Xuehan Zhuang China
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Citations per field
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Yoshiyasu Nakamura · 1×
Citations per year

Countries citing papers authored by Caj Haglund

Since Specialization
Citations

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

Fields of papers citing papers by Caj Haglund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998102
2 201097
3 200496
4 200490
5 200462
6 201059
7 200558
8 201256
9 198654
10 200454
11 201652
12 200146
13 200545
14 199644
15 199744
16 201944
17
Combination of HCGbeta, CA 19-9 and CEA with logistic regression improves accuracy in gastrointestinal malignancies.
200238
18 198736
19 200635
20 200631

About Caj Haglund

Caj Haglund is a scholar working on Cancer Research, Oncology, Otorhinolaryngology, Pulmonary and Respiratory Medicine and Immunology and Allergy, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (9 papers), Gastric Cancer Management and Outcomes (6 papers), Protease and Inhibitor Mechanisms (5 papers), Head and Neck Cancer Studies (5 papers), Breast Cancer Treatment Studies (4 papers), Polyomavirus and related diseases (3 papers), Cell Adhesion Molecules Research (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Cancer Research (299 citations), Otorhinolaryngology (105 citations), Oncology (353 citations), Cell Biology (141 citations) and Immunology and Allergy (35 citations). Caj Haglund has collaborated with scholars based in Finland, Sweden and Brazil. Frequent co-authors include Stig Nordling, Johan E. Lundin, Johanna M. Louhimo, Kristina von Boguslawski, Ulf‐Håkan Stenman, Jaana Hagström, Ilmo V.V. Leivo, Matti J. Välimäki, Jan‐Patrik Wiksten and Anne Juuti. Their work appears in journals such as Oncology, British Journal of Cancer, Acta Oncologica, The American Journal of Surgical Pathology and Life Science Alliance.

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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