Katja Viitala

447 total citations
9 papers, 367 citations indexed

About

Katja Viitala is a scholar working on Pathology and Forensic Medicine, Epidemiology and Genetics. According to data from OpenAlex, Katja Viitala has authored 9 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 5 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in Katja Viitala's work include Alcohol Consumption and Health Effects (7 papers), Liver Disease Diagnosis and Treatment (4 papers) and Diabetes and associated disorders (3 papers). Katja Viitala is often cited by papers focused on Alcohol Consumption and Health Effects (7 papers), Liver Disease Diagnosis and Treatment (4 papers) and Diabetes and associated disorders (3 papers). Katja Viitala collaborates with scholars based in Finland and United States. Katja Viitala's co-authors include Onni Niemelä, Seppo Parkkila, Markku Pasanen, Yedy Israel, Joan E. Blake, Risto O. Juvonen, Harry V. Gelboin, Timo Koivula, Olli Jaakkola and Charles H. Halsted and has published in prestigious journals such as Hepatology, Journal of Allergy and Clinical Immunology and Journal of Hepatology.

In The Last Decade

Katja Viitala

7 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Katja Viitala Finland	7	234	198	87	67	61	9	367
Michio Morimoto Japan	8	214 0.9×	181 0.9×	94 1.1×	32 0.5×	96 1.6×	16	381
Elisa Mottaran Italy	10	277 1.2×	347 1.8×	132 1.5×	106 1.6×	59 1.0×	12	614
Brittany Tillman United States	14	140 0.6×	216 1.1×	204 2.3×	48 0.7×	39 0.6×	27	504
Gregory J. Gores United States	6	166 0.7×	274 1.4×	152 1.7×	36 0.5×	18 0.3×	7	537
Luca Maccioni United States	8	208 0.9×	240 1.2×	155 1.8×	60 0.9×	22 0.4×	13	402
Romy Ouziel Belgium	6	158 0.7×	251 1.3×	46 0.5×	74 1.1×	24 0.4×	10	355
Jianguo Wu United States	11	116 0.5×	208 1.1×	352 4.0×	50 0.7×	34 0.6×	21	624
GC Farrell Australia	5	76 0.3×	359 1.8×	88 1.0×	151 2.3×	37 0.6×	6	496
Mikel Larzábal Spain	8	118 0.5×	161 0.8×	75 0.9×	71 1.1×	12 0.2×	14	381
Chuling Fang China	10	139 0.6×	136 0.7×	76 0.9×	29 0.4×	41 0.7×	18	354

Countries citing papers authored by Katja Viitala

Since Specialization

Citations

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

Fields of papers citing papers by Katja Viitala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Viitala

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Viitala. A scholar is included among the top collaborators of Katja Viitala 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 Katja Viitala. Katja Viitala is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Viitala, Katja, et al.. (2001). Serum IgG and IgE antibodies against mold-derived antigens in patients with symptoms of hypersensitivity. Clinica Chimica Acta. 305(1-2). 89–98. 20 indexed citations

Niemelä, Onni, Seppo Parkkila, Risto O. Juvonen, et al.. (2000). Cytochromes P450 2A6, 2E1, and 3A and production of protein-aldehyde adducts in the liver of patients with alcoholic and non-alcoholic liver diseases. Journal of Hepatology. 33(6). 893–901. 131 indexed citations

Viitala, Katja, Yedy Israel, Terho Lehtimäki, et al.. (2000). Autoimmune Responses Against Oxidant Stress and Acetaldehyde‐Derived Epitopes in Human Alcohol Consumers. Alcoholism Clinical and Experimental Research. 24(7). 1103–1109. 48 indexed citations

Viitala, Katja, et al.. (2000). 356 Serum IgG and IgE antibodies against mold-derived antigens. Journal of Allergy and Clinical Immunology. 105(1). S119–S119.

Viitala, Katja, et al.. (2000). Autoimmune Responses Against Oxidant Stress and Acetaldehyde-Derived Epitopes in Human Alcohol Consumers. Alcoholism Clinical and Experimental Research. 24(7). 1103–1109. 9 indexed citations

Niemelä, Onni, Seppo Parkkila, Markku Pasanen, et al.. (1999). Induction of cytochrome P450 enzymes and generation of protein-aldehyde adducts are associated with sex-dependent sensitivity to alcohol-induced liver disease in micropigs. Hepatology. 30(4). 1011–1017. 40 indexed citations

Viitala, Katja, et al.. (1998). Comparison of the Axis %CDT TIA and the CDTect method as laboratory tests of alcohol abuse. Clinical Chemistry. 44(6). 1209–1215. 44 indexed citations

Viitala, Katja. (1998). Carbohydrate-deficient transferrin (CDT) and serum antibodies against acetaldehyde adducts as markers of alcohol abuse. 1 indexed citations

Viitala, Katja, Yedy Israel, Joan E. Blake, & Onni Niemelä. (1997). Serum IgA, IgG, and IgM antibodies directed against acetaldehyde-derived epitopes: Relationship to liver disease severity and alcohol consumption. Hepatology. 25(6). 1418–1424. 74 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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