Erich Jaeger

1.6k total citations
17 papers, 376 citations indexed

About

Erich Jaeger is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Erich Jaeger has authored 17 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Erich Jaeger's work include Epigenetics and DNA Methylation (3 papers), Genomics and Phylogenetic Studies (3 papers) and Cancer Genomics and Diagnostics (3 papers). Erich Jaeger is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Genomics and Phylogenetic Studies (3 papers) and Cancer Genomics and Diagnostics (3 papers). Erich Jaeger collaborates with scholars based in United States, Germany and Malaysia. Erich Jaeger's co-authors include Roger Milkman, R. D. McBride, Itamar Harel, M Snyder, Morten Rasmussen, Ali Moshrefi, Tim Blauwkamp, Fereshteh Jahanbani, Hagen Tilgner and Carlos D. Bustamante and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Nature Biotechnology.

In The Last Decade

Erich Jaeger

16 papers receiving 369 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erich Jaeger United States 10 267 89 74 38 35 17 376
Itsaso Hormaeche Spain 9 318 1.2× 38 0.4× 129 1.7× 22 0.6× 29 0.8× 10 427
Taiyuan Li China 12 190 0.7× 87 1.0× 26 0.4× 28 0.7× 46 1.3× 31 283
Wanfeng Guo China 7 145 0.5× 55 0.6× 79 1.1× 88 2.3× 98 2.8× 18 297
Tuhin K. Guha Canada 8 255 1.0× 55 0.6× 46 0.6× 23 0.6× 76 2.2× 14 352
Jiewei Xu United States 14 371 1.4× 130 1.5× 54 0.7× 23 0.6× 49 1.4× 34 486
A. Simons Netherlands 7 275 1.0× 26 0.3× 173 2.3× 27 0.7× 28 0.8× 12 496
Abdul Qader Abbady Syria 12 397 1.5× 31 0.3× 46 0.6× 19 0.5× 61 1.7× 35 538
Hui Shan Chong Singapore 2 191 0.7× 39 0.4× 42 0.6× 35 0.9× 98 2.8× 3 263
Jana Ugorcakova Slovakia 8 194 0.7× 41 0.5× 81 1.1× 18 0.5× 19 0.5× 15 374
Elena Montauti United States 8 199 0.7× 39 0.4× 57 0.8× 21 0.6× 59 1.7× 9 361

Countries citing papers authored by Erich Jaeger

Since Specialization
Citations

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

Fields of papers citing papers by Erich Jaeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erich Jaeger

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

All Works

17 of 17 papers shown
1.
Maghini, Dylan G., Yuya Kiguchi, Aaron E. Darling, et al.. (2025). Illumina complete long read assay yields contiguous bacterial genomes from human gut metagenomes. mSystems. 10(8). e0153124–e0153124.
2.
Cromer, M. Kyle, Valentin Barsan, Erich Jaeger, et al.. (2022). Ultra-deep sequencing validates safety of CRISPR/Cas9 genome editing in human hematopoietic stem and progenitor cells. Nature Communications. 13(1). 4724–4724. 30 indexed citations
3.
Lawley, Cindy, Gil Ben-Zvi, Kobi Baruch, et al.. (2019). New de novo assembly of the Atlantic bottlenose dolphin ( Tursiops truncatus ) improves genome completeness and provides haplotype phasing. GigaScience. 8(3). 4 indexed citations
4.
Zhang, Fan, Lena Christiansen, Dmitry Pokholok, et al.. (2017). Haplotype phasing of whole human genomes using bead-based barcode partitioning in a single tube. Nature Biotechnology. 35(9). 852–857. 28 indexed citations
5.
Tilgner, Hagen, Fereshteh Jahanbani, Tim Blauwkamp, et al.. (2015). Comprehensive transcriptome analysis using synthetic long-read sequencing reveals molecular co-association of distant splicing events. Nature Biotechnology. 33(7). 736–742. 138 indexed citations
6.
Quinn, Anne Marie, Nicholas Hickson, Lynsey Priest, et al.. (2015). Diagnostic Mutation Profiling and Validation of Non–Small-Cell Lung Cancer Small Biopsy Samples using a High Throughput Platform. Journal of Thoracic Oncology. 10(5). 784–792. 13 indexed citations
7.
Udar, Nitin, et al.. (2013). A novel approach to improve detection of somatic DNA variants in solid tumors by next-generation sequencing from FFPE samples.. Journal of Clinical Oncology. 31(15_suppl). e22177–e22177. 2 indexed citations
8.
Killian, Jonathan Keith, Sven Bilke, Sean Davis, et al.. (2011). A Methyl-Deviator Epigenotype of Estrogen Receptor–Positive Breast Carcinoma Is Associated with Malignant Biology. American Journal Of Pathology. 179(1). 55–65. 10 indexed citations
9.
Janjigian, Y. Y., Claudia Pauligk, Dominique Werner, et al.. (2011). Prognostic significance of human epidermal growth factor-2 (HER2) in advanced gastric cancer: A U.S. and European international collaborative analysis.. Journal of Clinical Oncology. 29(15_suppl). 4014–4014. 14 indexed citations
10.
Wang, Xiaoming, Timothy C. Greiner, Marina Bibikova, et al.. (2010). Identification and functional relevance of de novo DNA methylation in cancerous B‐cell populations. Journal of Cellular Biochemistry. 109(4). 818–827. 11 indexed citations
11.
Killian, Jonathan Keith, Sven Bilke, Sean Davis, et al.. (2009). Large-Scale Profiling of Archival Lymph Nodes Reveals Pervasive Remodeling of the Follicular Lymphoma Methylome. Cancer Research. 69(3). 758–764. 36 indexed citations
12.
Jaeger, Erich, Marina Chekmareva, Thelma R. Tennant, et al.. (2003). Inhibition of prostate cancer metastatic colonization by ∼4.2 Mb of human chromosome 12. International Journal of Cancer. 108(1). 15–22. 3 indexed citations
13.
Milkman, Roger, Erich Jaeger, & R. D. McBride. (2003). Molecular Evolution of the Escherichia coli Chromosome. VI. Two Regions of High Effective Recombination. Genetics. 163(2). 475–483. 47 indexed citations
14.
Jaeger, Erich, Rajeev S. Samant, & Carrie Rinker‐Schaeffer. (2001). Metastasis Suppression in Prostate Cancer. Cancer and Metastasis Reviews. 20(3-4). 279–286. 21 indexed citations
15.
Jaeger, Erich, Steve Rust, Karin Scharffetter, et al.. (1990). Localization of cytoplasmic collagen mRNA in human aortic coarctation: mRNA enhancement in high blood pressure-induced intimal and medial thickening.. Journal of Histochemistry & Cytochemistry. 38(9). 1365–1375. 9 indexed citations
16.
Domschke, S, Wolfram Domschke, Bastian Schmack, et al.. (1976). Effects of 13-nle-motilin on salivary, gastric, and pancreatic secretions in man. Digestive Diseases and Sciences. 21(9). 789–792. 5 indexed citations
17.
Wünsch, Erich, et al.. (1974). Synthese von Peptiden. 5 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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