Carl Zingmark

1.3k total citations
24 papers, 900 citations indexed

About

Carl Zingmark is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Carl Zingmark has authored 24 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Oncology and 4 papers in Infectious Diseases. Recurrent topics in Carl Zingmark's work include Bacillus and Francisella bacterial research (7 papers), Gut microbiota and health (6 papers) and Colorectal Cancer Treatments and Studies (4 papers). Carl Zingmark is often cited by papers focused on Bacillus and Francisella bacterial research (7 papers), Gut microbiota and health (6 papers) and Colorectal Cancer Treatments and Studies (4 papers). Carl Zingmark collaborates with scholars based in Sweden, Canada and Norway. Carl Zingmark's co-authors include Anders Sjöstedt, Igor Golovliov, Richard Palmqvist, Wayne Conlan, Sofia Edin, Anna Löfgren‐Burström, Hua Shen, Pär Larsson, Helena Lindgren and Ingrid Ljuslinder and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Scientific Reports.

In The Last Decade

Carl Zingmark

24 papers receiving 892 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carl Zingmark Sweden 16 692 328 208 182 128 24 900
Pär Larsson Sweden 16 448 0.6× 168 0.5× 298 1.4× 149 0.8× 78 0.6× 26 863
Nihal A. Okan United States 11 509 0.7× 191 0.6× 67 0.3× 74 0.4× 92 0.7× 13 654
H. Rosenberg Israel 10 522 0.8× 189 0.6× 96 0.5× 121 0.7× 109 0.9× 18 870
Takashi Shimoike Japan 17 391 0.6× 222 0.7× 42 0.2× 237 1.3× 64 0.5× 24 1.1k
Gema Gómez‐Mariano Spain 14 289 0.4× 208 0.6× 57 0.3× 146 0.8× 43 0.3× 28 658
Charles M. Stopford United States 10 230 0.3× 122 0.4× 182 0.9× 156 0.9× 33 0.3× 13 729
Kristie Bloom South Africa 13 584 0.8× 158 0.5× 43 0.2× 256 1.4× 23 0.2× 28 872
Abdullah Ely South Africa 20 888 1.3× 253 0.8× 38 0.2× 278 1.5× 41 0.3× 54 1.3k
Abdelhakim Ben Nasr United States 10 307 0.4× 113 0.3× 31 0.1× 114 0.6× 53 0.4× 10 564
Qingmei Jia United States 16 241 0.3× 120 0.4× 340 1.6× 212 1.2× 37 0.3× 30 763

Countries citing papers authored by Carl Zingmark

Since Specialization
Citations

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

Fields of papers citing papers by Carl Zingmark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carl Zingmark

This figure shows the co-authorship network connecting the top 25 collaborators of Carl Zingmark. A scholar is included among the top collaborators of Carl Zingmark 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 Carl Zingmark. Carl Zingmark 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.
Löwenmark, Thyra, Linda M. Kohn, Anna Löfgren‐Burström, et al.. (2024). Parvimonas micra forms a distinct bacterial network with oral pathobionts in colorectal cancer patients. Journal of Translational Medicine. 22(1). 947–947. 3 indexed citations
2.
Edin, Sofia, Thyra Löwenmark, Anna Löfgren‐Burström, et al.. (2023). Porphyromonas gingivalis in Colorectal Cancer and its Association to Patient Prognosis. Journal of Cancer. 14(9). 1479–1485. 24 indexed citations
3.
Li, Fei, Ting Luo, Luís Nunes, et al.. (2023). 572P Neoantigen heterogeneity among subtypes in colorectal cancer. Annals of Oncology. 34. S421–S421. 1 indexed citations
4.
Edin, Sofia, Björn Gylling, Xingru Li, et al.. (2023). Opposing roles by KRAS and BRAF mutation on immune cell infiltration in colorectal cancer – possible implications for immunotherapy. British Journal of Cancer. 130(1). 143–150. 16 indexed citations
5.
Bodén, Stina, Anneli Sundkvist, Robin Myte, et al.. (2022). Plasma Concentrations of Gut Hormones Acyl Ghrelin and Peptide YY and Subsequent Risk of Colorectal Cancer and Molecular Tumor Subtypes. Cancer Prevention Research. 16(2). 75–87. 5 indexed citations
6.
Löwenmark, Thyra, Xingru Li, Anna Löfgren‐Burström, et al.. (2022). Parvimonas micra is associated with tumour immune profiles in molecular subtypes of colorectal cancer. Cancer Immunology Immunotherapy. 71(10). 2565–2575. 21 indexed citations
7.
Löwenmark, Thyra, Anna Löfgren‐Burström, Carl Zingmark, et al.. (2022). Tumour Colonisation of Parvimonas micra Is Associated with Decreased Survival in Colorectal Cancer Patients. Cancers. 14(23). 5937–5937. 16 indexed citations
8.
Li, Xingru, Pär Larsson, Ingrid Ljuslinder, et al.. (2021). A modified protein marker panel to identify four consensus molecular subtypes in colorectal cancer using immunohistochemistry. Pathology - Research and Practice. 220. 153379–153379. 11 indexed citations
9.
Myte, Robin, Sophia Harlid, Anneli Sundkvist, et al.. (2020). A longitudinal study of prediagnostic metabolic biomarkers and the risk of molecular subtypes of colorectal cancer. Scientific Reports. 10(1). 5336–5336. 8 indexed citations
10.
Bodén, Stina, Robin Myte, Anneli Sundkvist, et al.. (2020). C-reactive Protein and Future Risk of Clinical and Molecular Subtypes of Colorectal Cancer. Cancer Epidemiology Biomarkers & Prevention. 29(7). 1482–1491. 6 indexed citations
11.
Löwenmark, Thyra, Anna Löfgren‐Burström, Carl Zingmark, et al.. (2020). Parvimonas micra as a putative non-invasive faecal biomarker for colorectal cancer. Scientific Reports. 10(1). 15250–15250. 61 indexed citations
12.
Li, Xingru, Agnes Ling, Marie Lundholm, et al.. (2020). A Detailed Flow Cytometric Analysis of Immune Activity Profiles in Molecular Subtypes of Colorectal Cancer. Cancers. 12(11). 3440–3440. 11 indexed citations
13.
Myte, Robin, Björn Gylling, Jenny Häggström, et al.. (2019). Metabolic factors and the risk of colorectal cancer by KRAS and BRAF mutation status. International Journal of Cancer. 145(2). 327–337. 15 indexed citations
14.
Lundberg, Ida, Maria L. Wikberg, Ingrid Ljuslinder, et al.. (2018). MicroRNA Expression in KRAS- and BRAF-mutated Colorectal Cancers. Anticancer Research. 38(2). 677–683. 17 indexed citations
15.
Lampe, Elisabeth, et al.. (2017). Francisella noatunensis subspecies noatunensis clpB deletion mutant impairs development of francisellosis in a zebrafish model. Vaccine. 35(52). 7264–7272. 8 indexed citations
16.
Eklöf, Vincy, Anna Löfgren‐Burström, Carl Zingmark, et al.. (2017). Cancer‐associated fecal microbial markers in colorectal cancer detection. International Journal of Cancer. 141(12). 2528–2536. 154 indexed citations
17.
Lampe, Elisabeth, Urška Repnik, Gareth Griffiths, et al.. (2015). Dissection of Francisella-Host Cell Interactions in Dictyostelium discoideum. Applied and Environmental Microbiology. 82(5). 1586–1598. 25 indexed citations
18.
Rietz, Cecilia, et al.. (2012). Signatures of T Cells as Correlates of Immunity to Francisella tularensis. PLoS ONE. 7(3). e32367–e32367. 28 indexed citations
19.
Zingmark, Carl, Igor Golovliov, M A Bolanowski, et al.. (2009). Identification of Genes Contributing to the Virulence of Francisella tularensis SCHU S4 in a Mouse Intradermal Infection Model. PLoS ONE. 4(5). e5463–e5463. 88 indexed citations
20.

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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