Katharina Hofmann

493 total citations
17 papers, 339 citations indexed

About

Katharina Hofmann is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Katharina Hofmann has authored 17 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Epidemiology. Recurrent topics in Katharina Hofmann's work include RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). Katharina Hofmann is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers) and RNA modifications and cancer (3 papers). Katharina Hofmann collaborates with scholars based in Germany, United States and France. Katharina Hofmann's co-authors include Patrick Cramer, Seychelle M. Vos, Tomasz Zimniak, Thomas Gudermann, Pascaline Rombaut, Livia Caizzi, Veit Flockerzi, Ursula Storch, Alexander Dietrich and Franz Herzog and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Katharina Hofmann

16 papers receiving 335 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 Hofmann Germany 10 153 65 53 39 35 17 339
Li Eon Kuek United States 7 66 0.4× 76 1.2× 46 0.9× 26 0.7× 44 1.3× 11 293
Yaling Liao China 9 219 1.4× 27 0.4× 7 0.1× 29 0.7× 49 1.4× 22 377
Viviane Nascimento Da Conceicao United States 9 146 1.0× 14 0.2× 32 0.6× 30 0.8× 45 1.3× 18 376
Gabriela Michel Germany 9 185 1.2× 72 1.1× 6 0.1× 8 0.2× 19 0.5× 13 325
P E Nasmith Canada 8 281 1.8× 28 0.4× 16 0.3× 24 0.6× 76 2.2× 11 463
Carsten Künne Germany 9 243 1.6× 51 0.8× 5 0.1× 25 0.6× 104 3.0× 11 404
T. Nakamura United States 12 44 0.3× 9 0.1× 31 0.6× 18 0.5× 76 2.2× 26 304
Balázs Bender Hungary 12 151 1.0× 7 0.1× 23 0.4× 35 0.9× 17 0.5× 15 333
Paul J. Park United States 12 107 0.7× 31 0.5× 22 0.4× 14 0.4× 20 0.6× 19 354
Vesa-Matti Loitto Sweden 7 149 1.0× 59 0.9× 8 0.2× 88 2.3× 60 1.7× 8 357

Countries citing papers authored by Katharina Hofmann

Since Specialization
Citations

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

Fields of papers citing papers by Katharina Hofmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katharina Hofmann

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

All Works

17 of 17 papers shown
1.
Schaller, Lena, et al.. (2024). Electrical cell‐substrate impedance sensing (ECIS) in lung biology and disease. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 3(6). 1 indexed citations
2.
Stolp, Bettina, Marcel Stern, Ina Ambiel, et al.. (2022). SARS-CoV-2 variants of concern display enhanced intrinsic pathogenic properties and expanded organ tropism in mouse models. Cell Reports. 38(7). 110387–110387. 31 indexed citations
3.
Albanese, Manuel, Ernesto Mejías‐Pérez, Andreas Linder, et al.. (2021). Rapid, efficient and activation-neutral gene editing of polyclonal primary human resting CD4+ T cells allows complex functional analyses. Nature Methods. 19(1). 81–89. 18 indexed citations
4.
Hofmann, Katharina, et al.. (2021). COVID-19: Die Situation von außerstationär beatmeten Menschen. Pflegezeitschrift. 74(10). 63–66. 1 indexed citations
5.
Hillen, Hauke S., Katharina Hofmann, Michael Lidschreiber, et al.. (2021). The pentatricopeptide repeat protein Rmd9 recognizes the dodecameric element in the 3′-UTRs of yeast mitochondrial mRNAs. Proceedings of the National Academy of Sciences. 118(15). 12 indexed citations
6.
Sohrabi-Jahromi, Salma, Katharina Hofmann, Saskia Gressel, et al.. (2019). Transcriptome maps of general eukaryotic RNA degradation factors. eLife. 8. 20 indexed citations
7.
Hofmann, Katharina, Jürgen Harlizius, Christine Weiß, et al.. (2019). Schmerz- und Stressbestimmung bei der Injektion und Kastration von Saugferkeln unter Lokalanästhesie mit Procain und Lidocain. Tierärztliche Praxis Ausgabe G Großtiere / Nutztiere. 47(2). 87–96. 10 indexed citations
8.
Jones, Julia, Katharina Hofmann, Andrew T. Cowan, et al.. (2019). Yeast mitochondrial protein Pet111p binds directly to two distinct targets in COX2 mRNA, suggesting a mechanism of translational activation. Journal of Biological Chemistry. 294(18). 7528–7536. 14 indexed citations
9.
Hofmann, Katharina, Jürgen Harlizius, Christine Weiß, et al.. (2019). Schmerz- und Stressbestimmung bei der Injektion und Kastration von Saugferkeln unter Lokalanästhesie mit Procain und Lidocain. Tierärztliche Praxis Ausgabe G Großtiere / Nutztiere. 47(3). 160–170. 9 indexed citations
10.
Bösch, Florian, Katharina Hofmann, Michaela Coenen, et al.. (2018). Surgical treatment of pNET – Experience of a “high-volume” center. Surgical Oncology. 27(3). 409–414. 9 indexed citations
11.
Kopfnagel, Verena, Leslie Brand, Jana Zeitvogel, et al.. (2017). RNase 7 downregulates TH2 cytokine production by activated human T cells. Allergy. 72(11). 1694–1703. 23 indexed citations
12.
Hofmann, Katharina, Susanne Fiedler, Sarah Vierkotten, et al.. (2016). Classical transient receptor potential 6 (TRPC6) channels support myofibroblast differentiation and development of experimental pulmonary fibrosis. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1863(2). 560–568. 48 indexed citations
13.
Vos, Seychelle M., Livia Caizzi, Katharina Hofmann, et al.. (2016). Architecture and RNA binding of the human negative elongation factor. eLife. 5. 63 indexed citations
14.
Veith, Christine, Beate Fuchs, Katharina Hofmann, et al.. (2013). Classical Transient Receptor Potential Channel 1 in Hypoxia-induced Pulmonary Hypertension. American Journal of Respiratory and Critical Care Medicine. 188(12). 1451–1459. 70 indexed citations
15.
Loibl, Sibylle, Manfred Kaufmann, Keyur Mehta, et al.. (2006). Darbepoetin Alfa as Primary Prophylaxis of Anemia in Patients with Breast Cancer Treated Preoperatively with Docetaxel/Doxorubicin/Cyclophosphamide. PubMed. 3(2). 103–109. 2 indexed citations
16.
Hofmann, Katharina, W Marget, & B. H. Belohradsky. (1981). Veränderte bakterielle Periurethralflora bei jungen Mädchen mit chronisch rekurrierenden Harnwegsinfektionen?. Infection. 9(5). 252–254. 7 indexed citations
17.
Debertin, K., Katharina Hofmann, & E. Rössle. (1966). Proton spectra from the reaction D(n, p)2n at different energies. Nuclear Physics. 81(1). 220–224. 1 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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