Johannes Schödel

4.8k total citations · 4 hit papers
52 papers, 3.4k citations indexed

About

Johannes Schödel is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Johannes Schödel has authored 52 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 32 papers in Cancer Research and 13 papers in Genetics. Recurrent topics in Johannes Schödel's work include Cancer, Hypoxia, and Metabolism (31 papers), RNA modifications and cancer (10 papers) and Epigenetics and DNA Methylation (8 papers). Johannes Schödel is often cited by papers focused on Cancer, Hypoxia, and Metabolism (31 papers), RNA modifications and cancer (10 papers) and Epigenetics and DNA Methylation (8 papers). Johannes Schödel collaborates with scholars based in Germany, United Kingdom and United States. Johannes Schödel's co-authors include Peter J. Ratcliffe, David R. Mole, Christopher W. Pugh, Jiannis Ragoussis, Spyros Oikonomopoulos, Kai‐Uwe Eckardt, Steffen Grampp, Michael S. Wiesener, Kerstin Amann and Christina Warnecke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Johannes Schödel

52 papers receiving 3.4k citations

Hit Papers

align trajectories sort by overperformance

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.

High-resolution genome-wide mapping of HIF-binding sites by ChIP-seq

2011 563 citations Johannes Schödel, Spyros Oikonomopoulos et al. Blood profile →
Hypoxia, Hypoxia-inducible Transcription Factors, and Renal Cancer

2015 280 citations Johannes Schödel, Steffen Grampp et al. profile →
Tumor hypoxia induces nuclear paraspeckle formation through HIF-2α dependent transcriptional activation of NEAT1 leading to cancer cell survival

2014 261 citations Hani Choudhry, Ashwag Albukhari et al. Oncogene profile →
Mechanisms of hypoxia signalling: new implications for nephrology

2019 216 citations Johannes Schödel, Peter J. Ratcliffe Nature Reviews Nephrology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Johannes Schödel Germany	28	2.0k	1.9k	426	413	350	52	3.4k
Christina Warnecke Germany	33	2.1k 1.1×	2.3k 1.2×	499 1.2×	603 1.5×	485 1.4×	44	4.4k
Raju R. Raval United States	18	1.8k 0.9×	2.2k 1.1×	630 1.5×	446 1.1×	272 0.8×	77	3.3k
О. H. Minchenko Ukraine	27	2.0k 1.0×	1.3k 0.7×	215 0.5×	446 1.1×	521 1.5×	146	3.6k
Jean-Marc Herbert France	7	1.8k 0.9×	1.5k 0.8×	209 0.5×	243 0.6×	510 1.5×	7	3.0k
Yang‐Sook Chun South Korea	33	2.1k 1.1×	1.5k 0.8×	298 0.7×	246 0.6×	401 1.1×	68	3.6k
Yoji Andrew Minamishima Japan	23	1.9k 1.0×	1.0k 0.5×	175 0.4×	278 0.7×	309 0.9×	35	2.8k
Waihay J. Wong United States	15	1.3k 0.7×	1.2k 0.6×	234 0.5×	249 0.6×	278 0.8×	26	2.8k
GL Semenza United States	9	1.7k 0.8×	1.9k 1.0×	192 0.5×	517 1.3×	635 1.8×	9	3.2k
Patrick C. Mahon United Kingdom	10	1.9k 0.9×	2.0k 1.0×	196 0.5×	418 1.0×	290 0.8×	10	3.0k
H. Franklin Bunn United States	24	1.8k 0.9×	1.5k 0.8×	199 0.5×	540 1.3×	706 2.0×	46	3.5k

Countries citing papers authored by Johannes Schödel

Since Specialization

Citations

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

Fields of papers citing papers by Johannes Schödel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Schödel

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

All Works

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20 of 20 papers shown

Gorski, Mathias, Klaus Stark, Barbara Thorand, et al.. (2024). Analyzing longitudinal trait trajectories using GWAS identifies genetic variants for kidney function decline. Nature Communications. 15(1). 10061–10061. 2 indexed citations

Grampp, Steffen, et al.. (2023). Hypoxia hits APOL1 in the kidney. Kidney International. 104(1). 53–60. 11 indexed citations

Kraus, Andre, et al.. (2022). Loss of Polycystin-1 causes cAMP-dependent switch from tubule to cyst formation. iScience. 25(6). 104359–104359. 6 indexed citations

Schödel, Johannes, et al.. (2021). Androglobin gene expression patterns and FOXJ1-dependent regulation indicate its functional association with ciliogenesis. Journal of Biological Chemistry. 296. 100291–100291. 27 indexed citations

Schödel, Johannes & Peter J. Ratcliffe. (2019). Mechanisms of hypoxia signalling: new implications for nephrology. Nature Reviews Nephrology. 15(10). 641–659. 216 indexed citations breakdown →

Schmidt‐Lauber, Christian, Lars Anneken, & Johannes Schödel. (2019). Hypercalcemia mimicking myocardial infarction. Kidney International. 96(6). 1428–1428. 2 indexed citations

Grampp, Steffen, Rafik Salama, James Smythies, et al.. (2017). Multiple renal cancer susceptibility polymorphisms modulate the HIF pathway. PLoS Genetics. 13(7). e1006872–e1006872. 25 indexed citations

Berner, Daniel, Matthias Zenkel, Francesca Pasutto, et al.. (2017). Alternative splicing and nonsense-mediated mRNA decay contribute to regulation of LOXL1 expression in response to cellular stress in pseudoexfoliation. Investigative Ophthalmology & Visual Science. 58(8). 4909–4909. 1 indexed citations

Grampp, Steffen, Rafik Salama, Sven Wach, et al.. (2016). Genetic variation at the 8q24.21 renal cancer susceptibility locus affects HIF binding to a MYC enhancer. Nature Communications. 7(1). 13183–13183. 62 indexed citations

10.

Santambrogio, S, Johannes Schödel, Maja T. Lindenmeyer, et al.. (2015). Destruction of a distal hypoxia response element abolishestrans-activation of thePAG1gene mediated by HIF-independent chromatin looping. Nucleic Acids Research. 43(12). 5810–5823. 26 indexed citations

11.

Choudhry, Hani, Ashwag Albukhari, Matteo Morotti, et al.. (2014). Tumor hypoxia induces nuclear paraspeckle formation through HIF-2α dependent transcriptional activation of NEAT1 leading to cancer cell survival. Oncogene. 34(34). 4482–4490. 261 indexed citations breakdown →

12.

Jantsch, Jonathan & Johannes Schödel. (2014). Hypoxia and hypoxia-inducible factors in myeloid cell-driven host defense and tissue homeostasis. Immunobiology. 220(2). 305–314. 32 indexed citations

13.

Choudhry, Hani, Johannes Schödel, Spyros Oikonomopoulos, et al.. (2013). Extensive regulation of the non‐coding transcriptome by hypoxia: role of HIF in releasing paused RNA pol2. EMBO Reports. 15(1). 70–76. 133 indexed citations

14.

Hagos, Yohannes, Gunnar Schley, Johannes Schödel, et al.. (2012). α-Ketoglutarate-related inhibitors of HIF prolyl hydroxylases are substrates of renal organic anion transporters 1 (OAT1) and 4 (OAT4). Pflügers Archiv - European Journal of Physiology. 464(4). 367–374. 16 indexed citations

15.

Schödel, Johannes, Spyros Oikonomopoulos, Jiannis Ragoussis, et al.. (2011). High-resolution genome-wide mapping of HIF-binding sites by ChIP-seq. Blood. 117(23). e207–e217. 563 indexed citations breakdown →

16.

Jantsch, Jonathan, Johannes Schödel, Kirstin Castiglione, et al.. (2011). Toll-like receptor activation and hypoxia use distinct signaling pathways to stabilize hypoxia-inducible factor 1α (HIF1A) and result in differential HIF1A-dependent gene expression. Journal of Leukocyte Biology. 90(3). 551–562. 85 indexed citations

17.

Lakhal, Samira, Johannes Schödel, Alain Townsend, et al.. (2010). Regulation of Type II Transmembrane Serine Proteinase TMPRSS6 by Hypoxia-inducible Factors. Journal of Biological Chemistry. 286(6). 4090–4097. 83 indexed citations

18.

Schödel, Johannes, Bernd Klanke, Gunnar Schley, et al.. (2010). Factor inhibiting HIF limits the expression of hypoxia-inducible genes in podocytes and distal tubular cells. Kidney International. 78(9). 857–867. 33 indexed citations

19.

Hackenbeck, Thomas, Karl X. Knaup, Ruth Schietke, et al.. (2009). HIF-1 or HIF-2 induction is sufficient to achieve cell cycle arrest in NIH3T3 mouse fibroblasts independent from hypoxia. Cell Cycle. 8(9). 1386–1395. 55 indexed citations

20.

Bernhardt, Wanja M., Uwe Göttmann, Bjoern Buchholz, et al.. (2009). Donor treatment with a PHD-inhibitor activating HIFs prevents graft injury and prolongs survival in an allogenic kidney transplant model. Proceedings of the National Academy of Sciences. 106(50). 21276–21281. 119 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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