Katharina Heim

2.3k total citations
8 papers, 300 citations indexed

About

Katharina Heim is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Katharina Heim has authored 8 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Katharina Heim's work include Parkinson's Disease Mechanisms and Treatments (3 papers), Neurological diseases and metabolism (2 papers) and Autophagy in Disease and Therapy (1 paper). Katharina Heim is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (3 papers), Neurological diseases and metabolism (2 papers) and Autophagy in Disease and Therapy (1 paper). Katharina Heim collaborates with scholars based in Germany, Netherlands and Austria. Katharina Heim's co-authors include Holger Prokisch, Divya Mehta, Thomas Meitinger, Christopher M. Morris, Douglass M. Turnbull, Thomas Klopstock, Evelyn Jaros, Andreas Bender, Matthias Elstner and Stefanie Eggers and has published in prestigious journals such as PLoS ONE, Journal of Lipid Research and Acta Neuropathologica.

In The Last Decade

Katharina Heim

8 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katharina Heim Germany 7 135 90 53 53 48 8 300
W Ambrose McGee United States 4 159 1.2× 108 1.2× 24 0.5× 22 0.4× 27 0.6× 4 267
Harry Sweigard United States 4 131 1.0× 50 0.6× 78 1.5× 30 0.6× 8 0.2× 4 301
Hye-Won Hyun South Korea 11 195 1.4× 24 0.3× 89 1.7× 71 1.3× 46 1.0× 13 334
Christina B. Schroeter Germany 13 118 0.9× 72 0.8× 38 0.7× 52 1.0× 46 1.0× 29 307
Janel O. Johnson United States 10 153 1.1× 163 1.8× 94 1.8× 66 1.2× 25 0.5× 11 364
Udhaya Kumari Singapore 6 191 1.4× 95 1.1× 57 1.1× 51 1.0× 30 0.6× 8 350
Coro Sánchez‐Quintana Spain 11 175 1.3× 126 1.4× 68 1.3× 58 1.1× 19 0.4× 13 367
Ismini Kloukina Greece 12 272 2.0× 148 1.6× 88 1.7× 66 1.2× 96 2.0× 19 572
Zhi-hua Yang China 8 179 1.3× 99 1.1× 60 1.1× 45 0.8× 20 0.4× 15 324
Jiabing Shen China 13 192 1.4× 141 1.6× 74 1.4× 69 1.3× 41 0.9× 42 377

Countries citing papers authored by Katharina Heim

Since Specialization
Citations

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

Fields of papers citing papers by Katharina Heim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katharina Heim

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

All Works

8 of 8 papers shown
1.
Heim, Katharina, Benjamin Dälken, Faı̈za Rharbaoui, et al.. (2016). High thioredoxin‐1 levels in rheumatoid arthritis patients diminish binding and signalling of the monoclonal antibody Tregalizumab. Clinical & Translational Immunology. 5(12). e121–e121. 6 indexed citations
2.
Iuso, Arcangela, Ody C.M. Sibon, Matteo Gorza, et al.. (2014). Impairment of Drosophila Orthologs of the Human Orphan Protein C19orf12 Induces Bang Sensitivity and Neurodegeneration. PLoS ONE. 9(2). e89439–e89439. 25 indexed citations
3.
König, Martin, Benjamin Dälken, André Engling, et al.. (2014). A specific CD4 epitope bound by tregalizumab mediates activation of regulatory T cells by a unique signaling pathway. Immunology and Cell Biology. 93(4). 396–405. 29 indexed citations
4.
Mehta, Divya, Katharina Heim, Christian Herder, et al.. (2012). Impact of common regulatory single-nucleotide variants on gene expression profiles in whole blood. European Journal of Human Genetics. 21(1). 48–54. 25 indexed citations
5.
Oexle, Konrad, Barbara Schormair, Janina S. Ried, et al.. (2012). Dilution of candidates: the case of iron-related genes in restless legs syndrome. European Journal of Human Genetics. 21(4). 410–414. 24 indexed citations
6.
Elstner, Matthias, Christopher M. Morris, Katharina Heim, et al.. (2011). Expression analysis of dopaminergic neurons in Parkinson’s disease and aging links transcriptional dysregulation of energy metabolism to cell death. Acta Neuropathologica. 122(1). 75–86. 123 indexed citations
7.
Iuso, Arcangela, Tomasz Kmieć, Elżbieta Jurkiewicz, et al.. (2011). Identification of a second major locus for neurodegeneration with brain iron accumulation. Neuropediatrics. 42(S 01). 3 indexed citations
8.
Lattka, Eva, Stefanie Eggers, Gabriele Moeller, et al.. (2009). A common FADS2 promoter polymorphism increases promoter activity and facilitates binding of transcription factor ELK1. Journal of Lipid Research. 51(1). 182–191. 65 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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