Katja Novak

15 total papers · 1.3k total citations
3 papers, 181 citations indexed

About

Katja Novak is a scholar working on Pathology and Forensic Medicine, Epidemiology and Political Science and International Relations. According to data from OpenAlex, Katja Novak has authored 3 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pathology and Forensic Medicine, 2 papers in Epidemiology and 1 paper in Political Science and International Relations. Recurrent topics in Katja Novak's work include Alcohol Consumption and Health Effects (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Diet, Metabolism, and Disease (1 paper). Katja Novak is often cited by papers focused on Alcohol Consumption and Health Effects (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Diet, Metabolism, and Disease (1 paper). Katja Novak collaborates with scholars based in United Kingdom, France and Slovenia. Katja Novak's co-authors include Andrés Rodríguez‐Pose, Manuel Romero‐Gómez, Quentin M. Anstee, Giulio Marchesini, Helena Cortez‐Pinto, Jeffrey V. Lazarus, Mattias Ekstedt, Vlad Ratziu, Frank Tacke and Juan M. Pericàs and has published in prestigious journals such as Journal of Hepatology, JHEP Reports and Investigaciones Regionales - Journal of Regional Research.

In The Last Decade

Katja Novak

3 papers receiving 174 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Katja Novak 130 73 66 37 31 3 181
Stephanie O. Omokaro 70 0.5× 25 0.3× 32 0.5× 32 1.0× 5 255
Elmer Schabel 235 1.8× 120 1.6× 103 1.6× 9 0.3× 8 265
Huda Al Quraishi 110 0.8× 56 0.8× 44 0.7× 2 0.1× 4 122
Hashem El‐Serag 101 0.8× 101 1.4× 8 0.1× 33 1.1× 4 287
Angela Amante 210 1.6× 111 1.5× 78 1.2× 2 0.1× 7 263
Jane J Wong 48 0.4× 27 0.4× 22 0.3× 4 0.1× 3 76
Emily Zhang 205 1.6× 207 2.8× 16 0.2× 5 0.2× 5 274
Georgia Li 212 1.6× 191 2.6× 38 0.6× 4 0.1× 4 285
Joan Carles Quer 232 1.8× 155 2.1× 63 1.0× 2 0.1× 6 279
Yajing Zang 94 0.7× 37 0.5× 47 0.7× 1 0.0× 2 133

Countries citing papers authored by Katja Novak

Since Specialization
Citations

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

Fields of papers citing papers by Katja Novak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Novak

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

All Works

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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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