Frank Krämer

4.2k total citations · 1 hit paper
80 papers, 2.6k citations indexed

About

Frank Krämer is a scholar working on Molecular Biology, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Frank Krämer has authored 80 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 11 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Frank Krämer's work include Bioinformatics and Genomic Networks (19 papers), Gene expression and cancer classification (12 papers) and Advanced NMR Techniques and Applications (8 papers). Frank Krämer is often cited by papers focused on Bioinformatics and Genomic Networks (19 papers), Gene expression and cancer classification (12 papers) and Advanced NMR Techniques and Applications (8 papers). Frank Krämer collaborates with scholars based in Germany, United States and Spain. Frank Krämer's co-authors include Dominik Müller, Iñaki Soto‐Rey, Tim Beißbarth, Steffen J. Glaser, Marian Grade, Annalen Bleckmann, Jochen Gaedcke, Melanie Spitzner, Steven A. Johnsen and Β. Michael Ghadimi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecular Cell and Bioinformatics.

In The Last Decade

Frank Krämer

72 papers receiving 2.6k citations

Hit Papers

Towards a guideline for evaluation metrics in medical ima... 2022 2026 2023 2024 2022 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Towards a guideline for evaluation metrics in medical image segmentation
    2022 281 citations Dominik Müller, Iñaki Soto‐Rey et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Krämer Germany 26 1.1k 457 393 356 295 80 2.6k
Yueping Liu China 28 930 0.8× 986 2.2× 571 1.5× 386 1.1× 781 2.6× 259 3.7k
Chandandeep Nagi United States 22 766 0.7× 517 1.1× 615 1.6× 106 0.3× 544 1.8× 52 2.1k
Masahiro Okamoto Japan 32 1.6k 1.4× 242 0.5× 152 0.4× 361 1.0× 209 0.7× 194 3.4k
Kuang‐Yu Jen United States 27 1.4k 1.3× 617 1.4× 134 0.3× 265 0.7× 479 1.6× 79 2.9k
Michael J. Walker United States 35 1.1k 0.9× 1.3k 2.9× 551 1.4× 119 0.3× 684 2.3× 150 4.0k
Michael Khan United Kingdom 24 2.0k 1.8× 796 1.7× 213 0.5× 175 0.5× 493 1.7× 62 3.4k
Joanna Polańska Poland 27 1.0k 0.9× 275 0.6× 98 0.2× 382 1.1× 460 1.6× 171 2.6k
Dinesh Rakheja United States 42 2.9k 2.6× 707 1.5× 490 1.2× 531 1.5× 1.3k 4.4× 188 6.0k
Darci J. Phillips United States 20 1.4k 1.3× 466 1.0× 116 0.3× 143 0.4× 310 1.1× 31 2.4k
Peter J. Schüffler Switzerland 16 1.1k 1.0× 483 1.1× 121 0.3× 268 0.8× 273 0.9× 49 2.2k

Countries citing papers authored by Frank Krämer

Since Specialization
Citations

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

Fields of papers citing papers by Frank Krämer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Krämer

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Krämer. A scholar is included among the top collaborators of Frank Krämer 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 Frank Krämer. Frank Krämer 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.
Schuh, Sandra, et al.. (2024). Differences in the annotation between facial images and videos for training an artificial intelligence for skin type determination. Skin Research and Technology. 30(3). e13632–e13632. 2 indexed citations
2.
Krämer, Frank, et al.. (2024). Use of Creative Frameworks in Health Care to Solve Data and Information Problems: Scoping Review. JMIR Human Factors. 11. e55182–e55182. 1 indexed citations
3.
D’Angelo, Armando, et al.. (2024). Unveiling the Digital Evolution of Molecular Tumor Boards. Targeted Oncology. 20(1). 27–43. 1 indexed citations
4.
Schmid, Verena, Philip Meyer, Florian Auer, et al.. (2023). MISM: A Medical Image Segmentation Metric for Evaluation of Weak Labeled Data. Diagnostics. 13(16). 2618–2618.
5.
Auer, Florian, et al.. (2023). The RCX Extension Hub: A Resource for Implementations Extending the R Adaption of the Cytoscape Exchange Format. Studies in health technology and informatics. 302. 1075–1076.
6.
Krämer, Frank, et al.. (2023). GERNERMED++: Semantic annotation in German medical NLP through transfer-learning, translation and word alignment. Journal of Biomedical Informatics. 147. 104513–104513. 9 indexed citations
7.
Auer, Florian & Frank Krämer. (2022). RCX—an R package adapting the Cytoscape Exchange format for biological networks. Bioinformatics Advances. 2(1). vbac020–vbac020. 5 indexed citations
8.
Soto‐Rey, Iñaki, et al.. (2022). DrNote: An open medical annotation service. SHILAP Revista de lepidopterología. 1(8). e0000086–e0000086. 1 indexed citations
9.
Bleckmann, Annalen, et al.. (2019). Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer. Studies in health technology and informatics. 267. 181–186. 25 indexed citations
10.
Krämer, Frank, Steffen Just, & Tanja Zeller. (2018). New perspectives: systems medicine in cardiovascular disease. BMC Systems Biology. 12(1). 14 indexed citations
11.
Emons, Georg, Melanie Spitzner, Noam Auslander, et al.. (2017). Chemoradiotherapy Resistance in Colorectal Cancer Cells is Mediated by Wnt/β-catenin Signaling. Molecular Cancer Research. 15(11). 1481–1490. 104 indexed citations
12.
Proia, David A., Luisa Shin Ogawa, Frank Krämer, et al.. (2014). UDP glucuronosyltransferase 1A expression levels determine the response of colorectal cancer cells to the heat shock protein 90 inhibitor ganetespib. Cell Death and Disease. 5(9). e1411–e1411. 32 indexed citations
13.
Krämer, Frank, et al.. (2012). Cohesin is required for expression of the estrogen receptor-alpha (ESR1) gene. Epigenetics & Chromatin. 5(1). 13–13. 24 indexed citations
14.
Begus‐Nahrmann, Yvonne, Frank Krämer, Magali Hennion, et al.. (2011). Estrogen-Dependent Gene Transcription in Human Breast Cancer Cells Relies upon Proteasome-Dependent Monoubiquitination of Histone H2B. Cancer Research. 71(17). 5739–5753. 119 indexed citations
15.
Krämer, Frank, et al.. (2011). Historicizing the "Beyond" : the Mongolian invasion as a new dimension of violence?. 3 indexed citations
16.
Spitzner, Melanie, Margret Rave‐Fränk, Georg Emons, et al.. (2011). Silencing of the Wnt transcription factor TCF4 sensitizes colorectal cancer cells to (chemo-) radiotherapy. Carcinogenesis. 32(12). 1824–1831. 74 indexed citations
17.
Dinh, Wilfried, Reiner Füth, Mark Lankisch, et al.. (2011). Fator de diferenciação de crescimento 15: um novo biomarcador em pacientes com disfunção diastólica?. Arquivos Brasileiros de Cardiologia. 97(1). 65–75. 23 indexed citations
18.
Klemm, Florian, Annalen Bleckmann, Laila Siam, et al.. (2010). β-catenin-independent WNT signaling in basal-like breast cancer and brain metastasis. Carcinogenesis. 32(3). 434–442. 101 indexed citations
19.
Krämer, Frank, Jan Torzewski, Joachim Kamenz, et al.. (2008). Interleukin-1β stimulates acute phase response and C-reactive protein synthesis by inducing an NFκB- and C/EBPβ-dependent autocrine interleukin-6 loop. Molecular Immunology. 45(9). 2678–2689. 75 indexed citations
20.
Krämer, Frank, et al.. (1983). Gesellschaften ohne Staat : Gleichheit und Gegenseitigkeit. 2 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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