Kaja Tikk

1.7k total citations
23 papers, 597 citations indexed

About

Kaja Tikk is a scholar working on Oncology, Animal Science and Zoology and Surgery. According to data from OpenAlex, Kaja Tikk has authored 23 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 8 papers in Animal Science and Zoology and 5 papers in Surgery. Recurrent topics in Kaja Tikk's work include Colorectal Cancer Screening and Detection (8 papers), Meat and Animal Product Quality (8 papers) and Animal Nutrition and Physiology (6 papers). Kaja Tikk is often cited by papers focused on Colorectal Cancer Screening and Detection (8 papers), Meat and Animal Product Quality (8 papers) and Animal Nutrition and Physiology (6 papers). Kaja Tikk collaborates with scholars based in Germany, Denmark and United States. Kaja Tikk's co-authors include Henrik J. Andersen, Margit Dall Aaslyng, Anders Karlsson, Lene Meinert, Hermann Brenner, Mari Ann Tørngren, John‐Erik Haugen, Korbinian Weigl, Gunilla Lindahl and Megha Bhardwaj and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Stroke.

In The Last Decade

Kaja Tikk

22 papers receiving 585 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaja Tikk Germany 14 306 135 116 112 110 23 597
Jean M. Winter Australia 11 29 0.1× 441 3.3× 162 1.4× 80 0.7× 29 0.3× 40 757
Dan‐dan Ruan China 9 53 0.2× 138 1.0× 13 0.1× 93 0.8× 27 0.2× 44 356
Yaqi Meng China 14 88 0.3× 238 1.8× 20 0.2× 82 0.7× 12 0.1× 27 574
Hao Yue China 13 47 0.2× 162 1.2× 24 0.2× 43 0.4× 21 0.2× 45 452
Wenfeng Ma China 11 108 0.4× 149 1.1× 23 0.2× 29 0.3× 10 0.1× 38 356
Ayame Enomoto Japan 11 55 0.2× 315 2.3× 31 0.3× 21 0.2× 102 0.9× 18 553
Zdenka Hertelyová Slovakia 10 29 0.1× 177 1.3× 24 0.2× 62 0.6× 8 0.1× 28 349
Brian F. Hinnebusch United States 6 19 0.1× 417 3.1× 85 0.7× 70 0.6× 11 0.1× 6 653

Countries citing papers authored by Kaja Tikk

Since Specialization
Citations

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

Fields of papers citing papers by Kaja Tikk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaja Tikk

This figure shows the co-authorship network connecting the top 25 collaborators of Kaja Tikk. A scholar is included among the top collaborators of Kaja Tikk 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 Kaja Tikk. Kaja Tikk 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.
Sikosek, Tobias, Joanna Mika, Mustafa Kahraman, et al.. (2025). Early detection of Alzheimer’s disease using small RNAs. Results from the EPAD cohort. The Journal of Prevention of Alzheimer s Disease. 12(8). 100257–100257. 1 indexed citations
2.
Sharma, Amita, Tobias Sikosek, Timothy Rajakumar, et al.. (2023). Early detection of lung cancer using small RNAs.. Journal of Clinical Oncology. 41(16_suppl). 3035–3035.
3.
Rajakumar, Timothy, Mustafa Kahraman, Tobias Sikosek, et al.. (2022). Brief Report: A Blood-Based MicroRNA Complementary Diagnostic Predicts Immunotherapy Efficacy in Advanced-Stage NSCLC With High Programmed Death-Ligand 1 Expression. JTO Clinical and Research Reports. 3(8). 100369–100369. 3 indexed citations
4.
Bhardwaj, Megha, Korbinian Weigl, Kaja Tikk, et al.. (2020). Multiplex quantitation of 270 plasma protein markers to identify a signature for early detection of colorectal cancer. European Journal of Cancer. 127. 30–40. 25 indexed citations
5.
Niedermaier, Tobias, et al.. (2020). Sensitivity of Fecal Immunochemical Test for Colorectal Cancer Detection Differs According to Stage and Location. Clinical Gastroenterology and Hepatology. 18(13). 2920–2928.e6. 37 indexed citations
6.
Weigl, Korbinian, Kaja Tikk, Michael Hoffmeister, et al.. (2019). Prevalence of a First-Degree Relative With Colorectal Cancer and Uptake of Screening Among Persons 40 to 54 Years Old. Clinical Gastroenterology and Hepatology. 18(11). 2535–2543.e3. 11 indexed citations
7.
Bhardwaj, Megha, Korbinian Weigl, Kaja Tikk, et al.. (2019). Multiplex screening of 275 plasma protein biomarkers to identify a signature for early detection of colorectal cancer. Molecular Oncology. 14(1). 8–21. 27 indexed citations
8.
Bhardwaj, Megha, Anton Gies, Korbinian Weigl, et al.. (2019). Evaluation and Validation of Plasma Proteins Using Two Different Protein Detection Methods for Early Detection of Colorectal Cancer. Cancers. 11(10). 1426–1426. 30 indexed citations
9.
Qian, Jing, Kaja Tikk, Korbinian Weigl, Yesilda Balavarca, & Hermann Brenner. (2018). Fibroblast growth factor 21 as a circulating biomarker at various stages of colorectal carcinogenesis. British Journal of Cancer. 119(11). 1374–1382. 23 indexed citations
10.
Qian, Jing, Kaja Tikk, Simone Werner, et al.. (2018). Biomarker discovery study of inflammatory proteins for colorectal cancer early detection demonstrated importance of screening setting validation. Journal of Clinical Epidemiology. 104. 24–34. 12 indexed citations
11.
Tikk, Kaja, Korbinian Weigl, Michael Hoffmeister, et al.. (2018). Study protocol of the RaPS study: novel risk adapted prevention strategies for people with a family history of colorectal cancer. BMC Cancer. 18(1). 720–720. 7 indexed citations
12.
Weigl, Korbinian, Kaja Tikk, Michael Hoffmeister, et al.. (2018). A Web-based survey among adults aged 40–54 years was time effective and yielded stable response patterns. Journal of Clinical Epidemiology. 105. 10–18. 6 indexed citations
13.
Tikk, Kaja, John‐Erik Haugen, Henrik J. Andersen, & Margit Dall Aaslyng. (2008). Monitoring of warmed-over flavour in pork using the electronic nose – correlation to sensory attributes and secondary lipid oxidation products. Meat Science. 80(4). 1254–1263. 74 indexed citations
14.
Meinert, Lene, Kaja Tikk, Per B. Brockhoff, et al.. (2008). Flavour development in pork. Influence of flavour precursor concentrations in longissimus dorsi from pigs with different raw meat qualities. Meat Science. 81(1). 255–262. 38 indexed citations
15.
Meinert, Lene, et al.. (2007). Flavour formation in pork semimembranosus: Combination of pan-temperature and raw meat quality. Meat Science. 80(2). 249–258. 15 indexed citations
16.
Tikk, Kaja, Gunilla Lindahl, Anders Karlsson, & Henrik J. Andersen. (2007). The significance of diet, slaughter weight and aging time on pork colour and colour stability. Meat Science. 79(4). 806–816. 26 indexed citations
17.
18.
Tikk, Kaja, et al.. (2006). The effect of a muscle-glycogen-reducing finishing diet on porcine meat and fat colour. Meat Science. 73(2). 378–385. 14 indexed citations
19.
Tikk, Kaja, Mari Ann Tørngren, Lene Meinert, et al.. (2006). Development of Inosine Monophosphate and Its Degradation Products during Aging of Pork of Different Qualities in Relation to Basic Taste and Retronasal Flavor Perception of the Meat. Journal of Agricultural and Food Chemistry. 54(20). 7769–7777. 151 indexed citations
20.
Tikk, Kaja, et al.. (2005). The significance of a muscle glycogen reducing diet on porcine meat and fat color. 2 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.

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