Ella Kim

1.6k total citations
38 papers, 1.2k citations indexed

About

Ella Kim is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Ella Kim has authored 38 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 19 papers in Oncology and 8 papers in Genetics. Recurrent topics in Ella Kim's work include Cancer-related Molecular Pathways (15 papers), DNA Repair Mechanisms (9 papers) and Glioma Diagnosis and Treatment (8 papers). Ella Kim is often cited by papers focused on Cancer-related Molecular Pathways (15 papers), DNA Repair Mechanisms (9 papers) and Glioma Diagnosis and Treatment (8 papers). Ella Kim collaborates with scholars based in Germany, United States and Russia. Ella Kim's co-authors include Wolfgang Deppert, Alf Giese, Lisa Wiesmüller, Frank Große, Maurice Reimann, Gabriele Warnecke, Korden Walter, Maxim Sorokin, Anton Buzdin and Sven R. Kantelhardt and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Analytical Biochemistry.

In The Last Decade

Ella Kim

37 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
Ella Kim Germany 21 833 607 206 106 99 38 1.2k
Kenneth G. Geles United States 11 885 1.1× 526 0.9× 264 1.3× 79 0.7× 77 0.8× 17 1.4k
Baoli Hu China 14 774 0.9× 369 0.6× 328 1.6× 89 0.8× 90 0.9× 36 1.0k
Sarah E. Golding United States 13 1.0k 1.2× 489 0.8× 206 1.0× 35 0.3× 165 1.7× 17 1.3k
Catherine M. Shachaf United States 13 784 0.9× 381 0.6× 279 1.4× 62 0.6× 44 0.4× 22 1.2k
Mark Esposito United States 13 786 0.9× 466 0.8× 364 1.8× 43 0.4× 44 0.4× 19 1.3k
Kazuharu Kai Japan 18 487 0.6× 577 1.0× 443 2.2× 43 0.4× 58 0.6× 38 1.2k
Constadina Arvanitis United States 11 1.3k 1.6× 637 1.0× 422 2.0× 73 0.7× 92 0.9× 21 1.9k
Yan Degenhardt United States 16 1.1k 1.3× 663 1.1× 223 1.1× 38 0.4× 69 0.7× 23 1.6k
Caroline B. Ho United States 10 1.6k 1.9× 405 0.7× 147 0.7× 37 0.3× 128 1.3× 15 1.9k
Gary Box United Kingdom 19 646 0.8× 421 0.7× 241 1.2× 24 0.2× 69 0.7× 36 1.2k

Countries citing papers authored by Ella Kim

Since Specialization
Citations

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

Fields of papers citing papers by Ella Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ella Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Ella Kim. A scholar is included among the top collaborators of Ella Kim 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 Ella Kim. Ella Kim 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.
Abe, Kimihiro, et al.. (2023). Identification of CgeA as a glycoprotein that anchors polysaccharides to the spore surface in Bacillus subtilis. Molecular Microbiology. 120(3). 384–396. 7 indexed citations
2.
3.
Dejung, Mario, Falk Butter, Ella Kim, et al.. (2022). Class I HDAC overexpression promotes temozolomide resistance in glioma cells by regulating RAD18 expression. Cell Death and Disease. 13(4). 293–293. 35 indexed citations
4.
Zolotovskaia, Marianna, Maxim Sorokin, Ella Kim, et al.. (2022). Next-Generation Grade and Survival Expression Biomarkers of Human Gliomas Based on Algorithmically Reconstructed Molecular Pathways. International Journal of Molecular Sciences. 23(13). 7330–7330. 8 indexed citations
5.
Zolotovskaia, Marianna, Victor Tkachev, Maxim Sorokin, et al.. (2021). Algorithmically Deduced FREM2 Molecular Pathway Is a Potent Grade and Survival Biomarker of Human Gliomas. Cancers. 13(16). 4117–4117. 12 indexed citations
6.
Samii, Amir, Maxim Sorokin, Andrew Garazha, et al.. (2021). Case of multifocal glioblastoma with four fusion transcripts of ALK, FGFR2, NTRK2, and NTRK3 genes stresses the need for tumor tissue multisampling for transcriptomic analysis. Molecular Case Studies. 7(4). a006100–a006100. 10 indexed citations
7.
Kim, Ella, Jonathan Schupp, Petra Leukel, et al.. (2019). GARP as an Immune Regulatory Molecule in the Tumor Microenvironment of Glioblastoma Multiforme. International Journal of Molecular Sciences. 20(15). 3676–3676. 25 indexed citations
8.
Buzdin, Anton, Maxim Sorokin, Andrew Garazha, et al.. (2019). RNA sequencing for research and diagnostics in clinical oncology. Seminars in Cancer Biology. 60. 311–323. 56 indexed citations
9.
Kantelhardt, Sven R., Darius Kalasauskas, Karsten König, et al.. (2016). In vivo multiphoton tomography and fluorescence lifetime imaging of human brain tumor tissue. Journal of Neuro-Oncology. 127(3). 473–482. 83 indexed citations
10.
Hassouna, Imam, Swetlana Sperling, Ella Kim, et al.. (2008). Erythropoietin Augments Survival of Glioma Cells After Radiation and Temozolomide. International Journal of Radiation Oncology*Biology*Physics. 72(3). 927–934. 20 indexed citations
11.
Walter, Korden, Gabriele Warnecke, Richard P. Bowater, Wolfgang Deppert, & Ella Kim. (2005). Tumor Suppressor p53 Binds with High Affinity to CTG·CAG Trinucleotide Repeats and Induces Topological Alterations in Mismatched Duplexes. Journal of Biological Chemistry. 280(52). 42497–42507. 23 indexed citations
12.
Kim, Ella, et al.. (2005). Redox factor 1 (Ref-1) enhances specific DNA binding of p53 by promoting p53 tetramerization. Oncogene. 24(9). 1641–1647. 53 indexed citations
13.
Kim, Ella & Wolfgang Deppert. (2004). Transcriptional activities of mutant p53: When mutations are more than a loss. Journal of Cellular Biochemistry. 93(5). 878–886. 79 indexed citations
14.
Reimann, Maurice, et al.. (2003). Analysis of p53 “Latency” and “Activation” by Fluorescence Correlation Spectroscopy. Journal of Biological Chemistry. 278(35). 32587–32595. 33 indexed citations
15.
Kim, Ella & Wolfgang Deppert. (2003). The complex interactions of p53 with target DNA: we learn as we go. Biochemistry and Cell Biology. 81(3). 141–150. 54 indexed citations
16.
Kim, Ella, W. C. Gunther, Kimio Yoshizato, et al.. (2003). Tumor suppressor p53 inhibits transcriptional activation of invasion gene thromboxane synthase mediated by the proto-oncogenic factor ets-1. Oncogene. 22(49). 7716–7727. 45 indexed citations
17.
Reimann, Maurice, et al.. (2002). Specific Interaction of p53 with Target Binding Sites Is Determined by DNA Conformation and Is Regulated by the C-terminal Domain. Journal of Biological Chemistry. 277(43). 41192–41203. 63 indexed citations
18.
Kim, Ella, et al.. (1999). Influence of promoter DNA topology on sequence-specific DNA binding and transactivation by tumor suppressor p53. Oncogene. 18(51). 7310–7318. 43 indexed citations
19.
Große, Frank, et al.. (1999). Maintenance of genomic integrity by p53: complementary roles for activated and non-activated p53. Oncogene. 18(53). 7706–7717. 143 indexed citations
20.
Kim, Ella, et al.. (1997). DNA-conformation is an important determinant of sequence-specific DNA binding by tumor suppressor p53. Oncogene. 15(7). 857–859. 54 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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