A. Jauch

4.3k citations
50 papers · 2.6k indexed · h-index 28
  • Hematology top 2%
    • Multiple Myeloma Research and Treatments 7
  • Genetics top 5%
    • Genomic variations and chromosomal abnormalities 10
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
    • Cancer Genomics and Diagnostics 4
    • Genomics and Chromatin Dynamics 5
  • Genetics top 5%
    • Genomic variations and chromosomal abnormalities 10
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
    • Chromosomal and Genetic Variations 10
    • Neuroendocrine Tumor Research Advances 4
    • Microtubule and mitosis dynamics 3

A. Jauch

49 papers receiving 2.5k citations

Peers

A. Jauch
Comparison fields: 5 of 101
  • Hematology 533
  • Genetics 320
  • Cancer Research 437
  • Molecular Biology 1.7k
  • Genetics 596
Replace Ellen van Drunen with:
Ellen van Drunen Netherlands
Arito Yamane Japan
Rosalyn Slater Netherlands
Daynna J. Wolff United States
A. Thomas Look United States
David Gisselsson Sweden
Caryn Y. Ito Canada
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Sabine Strehl Austria
Doris Steinemann Germany
A. Jauch relative to Ellen van Drunen Netherlands Ellen van Drunen's profile →
Citations per field
00.5×1.5×2.0×
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Citations per year

Countries citing papers authored by A. Jauch

Since Specialization
Citations

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

Fields of papers citing papers by A. Jauch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside A. Jauch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with A. Jauch Line = papers co-authored together A. Jauch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 2015140
4 201535
5 201141
6 201125
7 2010112
8 200962
9 200676
10 200578
11 200435
12 200130
13 20014
14 20008
15 199713
16 199731
17 199632
18 1996100
19 199215
20 19912

About A. Jauch

A. Jauch is a scholar working on Hematology, Genetics and Genetics, having authored 50 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (10 papers), Chromosomal and Genetic Variations (10 papers), Multiple Myeloma Research and Treatments (7 papers), Genomics and Chromatin Dynamics (5 papers), Cancer Genomics and Diagnostics (4 papers), Neuroendocrine Tumor Research Advances (4 papers), Microtubule and mitosis dynamics (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). The work is most often cited by research in Hematology (533 citations), Genetics (320 citations) and Cancer Research (437 citations). A. Jauch has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Thomas Cremer, Michael R. Speicher, Peter Lichter, Steffen Dietzel, Evelin Schröck, Stanislas du Manoir, Christoph Cremer, Harry Scherthan, Thomas Ried and Dirk Hose. Their work appears in journals such as Haematologica, Oncogene, Leukemia, Human Genetics and Clinical Genetics.

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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