Christina Kühn

13.6k total citations · 3 hit papers
246 papers, 10.3k citations indexed

About

Christina Kühn is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Christina Kühn has authored 246 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 74 papers in Immunology and 64 papers in Plant Science. Recurrent topics in Christina Kühn's work include Plant nutrient uptake and metabolism (52 papers), Reproductive System and Pregnancy (41 papers) and Estrogen and related hormone effects (32 papers). Christina Kühn is often cited by papers focused on Plant nutrient uptake and metabolism (52 papers), Reproductive System and Pregnancy (41 papers) and Estrogen and related hormone effects (32 papers). Christina Kühn collaborates with scholars based in Germany, France and United States. Christina Kühn's co-authors include Wolf B. Frommer, Udo Jeschke, Wolfgang Meyerhof, Bernd Bufe, Maik Behrens, Christopher P. L. Grof, Alexander Schulz, Anne Brockhoff, Doris Mayr and Bernhard Grimm and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Christina Kühn

236 papers receiving 10.1k citations

Hit Papers

The Molecular Receptive Ranges of Human TAS2R Bitter Tast... 2005 2026 2012 2019 2009 2005 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christina Kühn Germany 46 4.3k 3.1k 2.7k 2.1k 1.6k 246 10.3k
Mei Sun China 49 2.4k 0.6× 4.0k 1.3× 643 0.2× 380 0.2× 189 0.1× 136 11.0k
Thomas Vogt United States 46 3.3k 0.8× 7.2k 2.3× 369 0.1× 189 0.1× 324 0.2× 126 11.3k
Yoshiyuki Tanaka Japan 38 2.3k 0.5× 2.1k 0.7× 210 0.1× 286 0.1× 93 0.1× 209 6.0k
Francisco Solano Spain 47 670 0.2× 2.3k 0.7× 2.5k 0.9× 621 0.3× 198 0.1× 170 7.6k
Makoto Kobayashi Japan 49 3.0k 0.7× 6.6k 2.1× 345 0.1× 69 0.0× 184 0.1× 242 10.9k
Wen‐Wu Li United Kingdom 39 4.7k 1.1× 8.2k 2.6× 248 0.1× 92 0.0× 377 0.2× 140 13.6k
Susumu Katsuma Japan 45 1.6k 0.4× 5.0k 1.6× 705 0.3× 154 0.1× 88 0.1× 200 8.6k
Hideyuki Kobayashi Japan 40 732 0.2× 3.0k 1.0× 481 0.2× 69 0.0× 756 0.5× 293 6.1k
François Blachier France 39 223 0.1× 2.6k 0.8× 864 0.3× 76 0.0× 172 0.1× 137 5.3k
James M. Ntambi United States 75 365 0.1× 9.6k 3.1× 5.5k 2.0× 44 0.0× 108 0.1× 219 20.2k

Countries citing papers authored by Christina Kühn

Since Specialization
Citations

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

Fields of papers citing papers by Christina Kühn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Kühn

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Kühn. A scholar is included among the top collaborators of Christina Kühn 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 Christina Kühn. Christina Kühn 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.
Kühn, Christina, et al.. (2024). Diversity‐On: A Diversity‐Sensitive Online Self‐Help Program for Family Caregivers—A Protocol for a Mixed Methods Study. Journal of Advanced Nursing. 81(5). 2810–2818. 1 indexed citations
2.
Jueckstock, J, Aurelia Vattai, Helene Hildegard Heidegger, et al.. (2023). MTA1 as negative prognostic marker in vulvar carcinoma. Journal of Cancer Research and Clinical Oncology. 149(9). 6191–6201. 1 indexed citations
3.
Kolben, Thomas, Sarah Meister, Christina Kühn, et al.. (2021). Factors Influencing the In Vitro Maturation (IVM) of Human Oocyte. Biomedicines. 9(12). 1904–1904. 25 indexed citations
4.
Vilsmaier, Theresa�, Elisa Schmoeckel, Christina Kühn, et al.. (2021). The decidual expression of Interleukin‐7 is upregulated in early pregnancy loss. American Journal of Reproductive Immunology. 86(3). e13437–e13437. 11 indexed citations
5.
Meister, Sarah, Susanne Beyer, Christina Kühn, et al.. (2021). Epigenetic modification via H3K4me3 and H3K9ac in human placenta is reduced in preeclampsia. Journal of Reproductive Immunology. 145. 103287–103287. 12 indexed citations
6.
Lin, Peng, Ye Yao, Zhi Ma, et al.. (2021). Role of Peroxisome Proliferator-Activated Receptors (PPARs) in Trophoblast Functions. International Journal of Molecular Sciences. 22(1). 433–433. 30 indexed citations
7.
Kühn, Christina, Doris Mayr, Nina Ditsch, et al.. (2020). Cytoplasmic PPARγ is a marker of poor prognosis in patients with Cox-1 negative primary breast cancers. Journal of Translational Medicine. 18(1). 94–94. 20 indexed citations
8.
Kühn, Christina, Till Kaltofen, Theresa� Vilsmaier, et al.. (2020). L-Dopa-Decarboxylase (DDC) Is a Positive Prognosticator for Breast Cancer Patients and Epinephrine Regulates Breast Cancer Cell (MCF7 and T47D) Growth In Vitro According to Their Different Expression of Gi- Protein- Coupled Receptors. International Journal of Molecular Sciences. 21(24). 9565–9565. 7 indexed citations
9.
Kühn, Christina, Thomas Kolben, Zhi Ma, et al.. (2020). Early Life Oxidative Stress and Long-Lasting Cardiovascular Effects on Offspring Conceived by Assisted Reproductive Technologies: A Review. International Journal of Molecular Sciences. 21(15). 5175–5175. 23 indexed citations
10.
Hofmann, Simone, Christina Kühn, Helene Hildegard Heidegger, et al.. (2019). <p>Thyronamine regulation of TAAR1 expression in breast cancer cells and investigation of its influence on viability and migration</p>. Breast Cancer Targets and Therapy. Volume 11. 87–97. 15 indexed citations
11.
Piseddu, Ignazio, Gabriela M. Wiedemann, Michael Lauseker, et al.. (2018). CCL1 is a major regulatory T cell attracting factor in human breast cancer. BMC Cancer. 18(1). 1278–1278. 58 indexed citations
12.
Kühn, Christina, Doris Mayr, Christoph Alexiou, et al.. (2016). Immunohistochemical Evaluation of E6/E7 HPV Oncoproteins Staining in Cervical Cancer.. PubMed. 36(6). 3195–8. 23 indexed citations
13.
16.
Krügel, Undine, Liesbeth M. Veenhoff, Elena Wiederhold, et al.. (2008). Transport and Sorting of the Solanum tuberosum Sucrose Transporter SUT1 Is Affected by Posttranslational Modification. The Plant Cell. 20(9). 2497–2513. 76 indexed citations
17.
Mylonas, Ioannis, Udo Jeschke, Christina Kühn, et al.. (2007). Steroid receptors ERalpha, ERbeta, PR-A and PR-B are differentially expressed in normal and atrophic human endometrium.. PubMed. 22(2). 169–76. 50 indexed citations
18.
Chincinska, Izabela, Johannes Liesche, Undine Krügel, et al.. (2007). Sucrose Transporter StSUT4 from Potato Affects Flowering, Tuberization, and Shade Avoidance Response. PLANT PHYSIOLOGY. 146(2). 323–324. 194 indexed citations
19.
Kühn, Christina, Mohammad‐Reza Hajirezaei, Alisdair R. Fernie, et al.. (2003). The Sucrose Transporter StSUT1 Localizes to Sieve Elements in Potato Tuber Phloem and Influences Tuber Physiology and Development,. PLANT PHYSIOLOGY. 131(1). 102–113. 117 indexed citations
20.
Lemoine, Rémi, Laurence Barker, Soulaïman Sakr, et al.. (1999). Identification of a pollen‐specific sucrose transporter‐like proteinNtSUT3 from tobacco. FEBS Letters. 454(3). 325–330. 89 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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