Henrik Grönberg

47.5k total citations · 4 hit papers
263 papers, 11.6k citations indexed

About

Henrik Grönberg is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Molecular Biology. According to data from OpenAlex, Henrik Grönberg has authored 263 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 148 papers in Pulmonary and Respiratory Medicine, 67 papers in Genetics and 63 papers in Molecular Biology. Recurrent topics in Henrik Grönberg's work include Prostate Cancer Treatment and Research (128 papers), Prostate Cancer Diagnosis and Treatment (97 papers) and Genetic Associations and Epidemiology (30 papers). Henrik Grönberg is often cited by papers focused on Prostate Cancer Treatment and Research (128 papers), Prostate Cancer Diagnosis and Treatment (97 papers) and Genetic Associations and Epidemiology (30 papers). Henrik Grönberg collaborates with scholars based in Sweden, United States and United Kingdom. Henrik Grönberg's co-authors include Jianfeng Xu, William B. Isaacs, Fredrik Wiklund, Martin Eklund, Tobias Nordström, Hans‐Olov Adami, Markus Aly, Katarina Bälter, Lena Damber and Jan Adolfsson and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Henrik Grönberg

253 papers receiving 11.3k citations

Hit Papers

Inflammation in prostate ... 2003 2026 2010 2018 2007 2003 2015 2021 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Henrik Grönberg Sweden 57 5.2k 3.2k 2.6k 2.5k 2.0k 263 11.6k
James L. Mohler United States 60 6.6k 1.3× 5.4k 1.7× 2.5k 1.0× 2.4k 1.0× 2.0k 1.0× 395 14.6k
Janet L. Stanford United States 59 6.1k 1.2× 2.1k 0.7× 2.9k 1.1× 1.6k 0.6× 1.6k 0.8× 194 12.1k
Freddie C. Hamdy United Kingdom 66 5.2k 1.0× 6.1k 1.9× 3.7k 1.5× 3.2k 1.3× 802 0.4× 424 15.3k
Norio Nonomura Japan 49 3.6k 0.7× 4.6k 1.5× 2.4k 0.9× 1.8k 0.7× 763 0.4× 598 11.4k
Tomasz M. Beer United States 59 10.8k 2.1× 4.3k 1.4× 6.1k 2.4× 4.3k 1.7× 1.4k 0.7× 406 18.0k
Vesa Kataja Finland 49 2.1k 0.4× 2.5k 0.8× 4.0k 1.5× 2.3k 0.9× 1.2k 0.6× 176 9.1k
Taylor Murray United States 6 3.3k 0.6× 3.8k 1.2× 4.5k 1.7× 1.9k 0.8× 812 0.4× 7 11.5k
Ugo Pastorino Italy 68 8.9k 1.7× 5.6k 1.8× 5.6k 2.2× 3.7k 1.5× 1.1k 0.5× 417 17.6k
Alicia Samuels United States 8 3.5k 0.7× 3.4k 1.1× 4.7k 1.8× 1.6k 0.6× 931 0.5× 8 11.4k
Anders Bjartell Sweden 61 7.3k 1.4× 4.3k 1.4× 2.5k 1.0× 3.0k 1.2× 582 0.3× 345 13.5k

Countries citing papers authored by Henrik Grönberg

Since Specialization
Citations

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

Fields of papers citing papers by Henrik Grönberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henrik Grönberg

This figure shows the co-authorship network connecting the top 25 collaborators of Henrik Grönberg. A scholar is included among the top collaborators of Henrik Grönberg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Henrik Grönberg. Henrik Grönberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eklund, Martin, Markus Aly, Mark Clements, et al.. (2025). Data Resource Profile: STHLM0, the Stockholm Prostate Cancer Diagnostics Register. International Journal of Epidemiology. 54(3). 1 indexed citations
3.
Walz, Jochen, Derya Tilki, Alberto Briganti, et al.. (2024). Cost Analysis of Prostate Cancer Care Using a Biomarker-enhanced Diagnostic Strategy with Stockholm3. European Urology Open Science. 66. 26–32.
4.
Renaud, Gabriel, Johan Lindberg, Henrik Grönberg, et al.. (2022). Unsupervised detection of fragment length signatures of circulating tumor DNA using non-negative matrix factorization. eLife. 11. 9 indexed citations
5.
Crippa, Alessio, Bram De Laere, Andrea Discacciati, et al.. (2020). The ProBio trial: molecular biomarkers for advancing personalized treatment decision in patients with metastatic castration-resistant prostate cancer. Trials. 21(1). 579–579. 19 indexed citations
6.
Vigneswaran, Hari T., et al.. (2020). Ethnic variation in prostate cancer detection: A hypothesis generating study for use of the Stockholm3 test in an American cohort. European Urology Open Science. 19. e260–e261. 2 indexed citations
8.
Li, Jingmei, Emma Ivansson, Daniel Klevebring, et al.. (2016). Molecular Differences between Screen-Detected and Interval Breast Cancers Are Largely Explained by PAM50 Subtypes. Clinical Cancer Research. 23(10). 2584–2592. 15 indexed citations
9.
Kristensen, Helle, Christa Haldrup, Siri H. Strand, et al.. (2014). Hypermethylation of the GABRE∼miR-452∼miR-224 Promoter in Prostate Cancer Predicts Biochemical Recurrence after Radical Prostatectomy. Clinical Cancer Research. 20(8). 2169–2181. 73 indexed citations
10.
Seipel, Amanda H., Hemamali Samaratunga, Brett Delahunt, et al.. (2014). Immunohistochemical profile of ductal adenocarcinoma of the prostate. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 465(5). 559–565. 28 indexed citations
12.
Lin, Daniel W., Liesel M. FitzGerald, Rong Fu, et al.. (2011). Genetic Variants in the LEPR , CRY1 , RNASEL , IL4 , and ARVCF Genes Are Prognostic Markers of Prostate Cancer-Specific Mortality. Cancer Epidemiology Biomarkers & Prevention. 20(9). 1928–1936. 55 indexed citations
13.
Feng, Junjie, Jielin Sun, Seong‐Tae Kim, et al.. (2011). A Genome-Wide Survey over the ChIP-On-Chip Identified Androgen Receptor-Binding Genomic Regions Identifies a Novel Prostate Cancer Susceptibility Locus at 12q13.13. Cancer Epidemiology Biomarkers & Prevention. 20(11). 2396–2403. 7 indexed citations
14.
Hsu, Fang‐Chi, Jielin Sun, Yi Zhu, et al.. (2010). Comparison of Two Methods for Estimating Absolute Risk of Prostate Cancer Based on Single Nucleotide Polymorphisms and Family History. Cancer Epidemiology Biomarkers & Prevention. 19(4). 1083–1088. 14 indexed citations
15.
Klein, Robert J., Christer Halldén, Angel M. Cronin, et al.. (2010). Blood Biomarker Levels to Aid Discovery of Cancer-Related Single-Nucleotide Polymorphisms: Kallikreins and Prostate Cancer. Cancer Prevention Research. 3(5). 611–619. 45 indexed citations
16.
Hsu, Fang‐Chi, Jielin Sun, Fredrik Wiklund, et al.. (2009). A Novel Prostate Cancer Susceptibility Locus at 19q13. Cancer Research. 69(7). 2720–2723. 36 indexed citations
17.
Liu, Wennuan, Jishan Sun, Ge Li, et al.. (2009). Association of a Germ-Line Copy Number Variation at 2p24.3 and Risk for Aggressive Prostate Cancer. Cancer Research. 69(6). 2176–2179. 58 indexed citations
18.
Sun, Jielin, Siqun L. Zheng, Fredrik Wiklund, et al.. (2008). Sequence Variants at 22q13 Are Associated with Prostate Cancer Risk. Cancer Research. 69(1). 10–15. 79 indexed citations
19.
Marzo, Angelo M. De, Elizabeth A. Platz, Siobhan Sutcliffe, et al.. (2007). Inflammation in prostate carcinogenesis. Nature reviews. Cancer. 7(4). 256–269. 1212 indexed citations breakdown →
20.
Meuller, Johan, Gunilla Kanter-Smoler, Anders O.H. Nygren, et al.. (2004). Identification of Genomic Deletions of the APC Gene in Familial Adenomatous Polyposis by Two Independent Quantitative Techniques. Genetic Testing. 8(3). 248–256. 20 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026