Kristina Friedland

2.0k total citations
48 papers, 1.2k citations indexed

About

Kristina Friedland is a scholar working on Molecular Biology, Physiology and Pharmacology. According to data from OpenAlex, Kristina Friedland has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Physiology and 7 papers in Pharmacology. Recurrent topics in Kristina Friedland's work include Alzheimer's disease research and treatments (9 papers), RNA modifications and cancer (7 papers) and Pharmaceutical Practices and Patient Outcomes (6 papers). Kristina Friedland is often cited by papers focused on Alzheimer's disease research and treatments (9 papers), RNA modifications and cancer (7 papers) and Pharmaceutical Practices and Patient Outcomes (6 papers). Kristina Friedland collaborates with scholars based in Germany, Poland and France. Kristina Friedland's co-authors include Wernér E.G. Müller, Anne Eckert, Amandine Grimm, Christian Harteneck, Gerald Münch, Carola Stockburger, Gunter P. Eckert, Schamim H. Eckert, Andreas Mayr and Thorsten Schäfer and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Kristina Friedland

46 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kristina Friedland Germany 20 569 254 213 126 100 48 1.2k
Mehtab Khan South Korea 13 542 1.0× 343 1.4× 106 0.5× 127 1.0× 147 1.5× 18 1.3k
Dong Hoon Lee South Korea 20 529 0.9× 302 1.2× 191 0.9× 80 0.6× 156 1.6× 43 1.3k
Yue Hou China 25 598 1.1× 178 0.7× 118 0.6× 139 1.1× 124 1.2× 81 1.6k
Satyanarayana S. V. Padi India 17 264 0.5× 468 1.8× 290 1.4× 162 1.3× 85 0.8× 25 1.0k
Bun Tsoi China 22 491 0.9× 201 0.8× 69 0.3× 144 1.1× 104 1.0× 42 1.3k
Marshall G. Miller United States 20 445 0.8× 493 1.9× 165 0.8× 103 0.8× 113 1.1× 48 1.8k
Hong Jiang China 27 660 1.2× 302 1.2× 170 0.8× 87 0.7× 170 1.7× 72 1.9k
E. Mariani Italy 10 396 0.7× 485 1.9× 114 0.5× 116 0.9× 106 1.1× 10 1.4k
Andrzej Moniczewski Poland 12 455 0.8× 256 1.0× 170 0.8× 188 1.5× 167 1.7× 18 1.4k
Harsharan S. Bhatia Germany 21 399 0.7× 225 0.9× 135 0.6× 155 1.2× 77 0.8× 24 1.3k

Countries citing papers authored by Kristina Friedland

Since Specialization
Citations

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

Fields of papers citing papers by Kristina Friedland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristina Friedland

This figure shows the co-authorship network connecting the top 25 collaborators of Kristina Friedland. A scholar is included among the top collaborators of Kristina Friedland 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 Kristina Friedland. Kristina Friedland 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.
2.
Brégeon, Damien, Djemel Hamdane, Virginie Marchand, et al.. (2024). DORQ-seq: high-throughput quantification of femtomol tRNA pools by combination of cDNA hybridization and Deep sequencing. Nucleic Acids Research. 52(18). e89–e89. 3 indexed citations
3.
Krämer, Martina, Vanessa Barth, Thomas Haas, et al.. (2024). The P(III)‐Amidite Based Synthesis of Stable Isotope Labeled mRNA‐Cap‐Structures Enables their Sensitive Quantitation from Brain Tissue. Angewandte Chemie International Edition. 64(2). e202414537–e202414537. 2 indexed citations
4.
Endres, Kristina & Kristina Friedland. (2023). Talk to Me—Interplay between Mitochondria and Microbiota in Aging. International Journal of Molecular Sciences. 24(13). 10818–10818. 5 indexed citations
5.
Zheng, Fang, Tanja Schirmeister, Albert Braeuning, et al.. (2022). Analysis of hyperforin (St. John’s wort) action at TRPC6 channel leads to the development of a new class of antidepressant drugs. Molecular Psychiatry. 27(12). 5070–5085. 16 indexed citations
6.
Marchand, Virginie, et al.. (2020). Manganese Ions Individually Alter the Reverse Transcription Signature of Modified Ribonucleosides. Genes. 11(8). 950–950. 15 indexed citations
7.
Lehmkuhl, Kirstin, Kristina Friedland, Gianluca Civenni, et al.. (2020). Novel σ1 antagonists designed for tumor therapy: Structure – activity relationships of aminoethyl substituted cyclohexanes. European Journal of Medicinal Chemistry. 210. 112950–112950. 8 indexed citations
8.
Eckert, Gunter P., et al.. (2020). Olesoxime improves cerebral mitochondrial dysfunction and enhances Aβ levels in preclinical models of Alzheimer's disease. Experimental Neurology. 329. 113286–113286. 14 indexed citations
9.
Schäfer, Thorsten, Dasiel O. Borroto‐Escuela, Dorothée Weikert, et al.. (2019). Differential allosteric modulation within dopamine D2R - neurotensin NTS1R and D2R - serotonin 5-HT2AR receptor complexes gives bias to intracellular calcium signalling. Scientific Reports. 9(1). 16312–16312. 18 indexed citations
10.
11.
Pochwat, Bartłomiej, Bernadeta Szewczyk, Katarzyna Kotarska, et al.. (2018). Hyperforin Potentiates Antidepressant-Like Activity of Lanicemine in Mice. Frontiers in Molecular Neuroscience. 11. 456–456. 34 indexed citations
12.
Stockburger, Carola, Schamim H. Eckert, Gunter P. Eckert, Kristina Friedland, & Wernér E.G. Müller. (2018). Mitochondrial Function, Dynamics, and Permeability Transition: A Complex Love Triangle as A Possible Target for the Treatment of Brain Aging and Alzheimer’s Disease. Journal of Alzheimer s Disease. 64(s1). S455–S467. 29 indexed citations
13.
14.
Möller, Dorothée, Ashutosh Banerjee, Tobias Huth, et al.. (2017). Discovery of G Protein-Biased Dopaminergics with a Pyrazolo[1,5-a]pyridine Substructure. Journal of Medicinal Chemistry. 60(7). 2908–2929. 49 indexed citations
15.
Minakaki, Georgia, Patrick M. Schaefer, H Meixner, et al.. (2017). Alpha-synuclein prevents the formation of spherical mitochondria and apoptosis under oxidative stress. Scientific Reports. 7(1). 42942–42942. 62 indexed citations
16.
Schulz, Martin, et al.. (2016). Medication adherence and persistence according to different antihypertensive drug classes: A retrospective cohort study of 255,500 patients. International Journal of Cardiology. 220. 668–676. 66 indexed citations
17.
Borroto‐Escuela, Dasiel O., Thorsten Schäfer, Kristina Friedland, et al.. (2016). Multiple D2 heteroreceptor complexes: new targets for treatment of schizophrenia. Therapeutic Advances in Psychopharmacology. 6(2). 77–94. 44 indexed citations
18.
Grimm, Amandine, Kristina Friedland, & Anne Eckert. (2015). Mitochondrial dysfunction: the missing link between aging and sporadic Alzheimer’s disease. Biogerontology. 17(2). 281–296. 151 indexed citations
19.
Harteneck, Christian, et al.. (2014). Calcium - a central regulator of keratinocyte differentiation in health and disease. European Journal of Dermatology. 24(6). 650–661. 122 indexed citations
20.
Krebs, Sabine, et al.. (2014). Evaluation of eight drug interaction databases commonly used in the German healthcare system. European Journal of Hospital Pharmacy. 22(3). 165–170. 9 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Mehtab Khan Breakdown of academic impact, for papers by Dong Hoon Lee Breakdown of academic impact, for papers by Yue Hou Breakdown of academic impact, for papers by Satyanarayana S. V. Padi Breakdown of academic impact, for papers by Bun Tsoi Breakdown of academic impact, for papers by Marshall G. Miller Breakdown of academic impact, for papers by Hong Jiang Breakdown of academic impact, for papers by E. Mariani Breakdown of academic impact, for papers by Andrzej Moniczewski Breakdown of academic impact, for papers by Harsharan S. Bhatia
Rankless by CCL
2026