Max Kauer

1.1k citations
14 papers · 869 indexed · h-index 12

Impact in

  • Genetics top 5%
    • Genetic diversity and population structure
    • Evolution and Genetic Dynamics
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

Max Kauer

14 papers receiving 837 citations

Peers

Max Kauer
Comparison fields: 5 of 76
  • Genetics 407
  • Insect Science 103
  • Hematology 63
  • Ecology, Evolution, Behavior and Systematics 102
  • Molecular Biology 324
Replace Hélène Holota with:
Hélène Holota France
Daniel Mané‐Padrós Spain
Dmitry I. Nurminsky United States
Erin S. Kelleher United States
Alexandra L. Mattei United States
Andrew Holyoake New Zealand
Mathew A. Sloane Australia
Oliver Stojković Serbia
B. Nicoletti Italy
Alan Hodgkinson United Kingdom
Max Kauer relative to Hélène Holota France Hélène Holota's profile →
Citations per field
00.5×1.5×2.0×
Hélène Holota · 1×
Citations per year

Countries citing papers authored by Max Kauer

Since Specialization
Citations

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

Fields of papers citing papers by Max Kauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Max Kauer, 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 Max Kauer Line = papers co-authored together Max Kauer links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2003161
2 2002161
3 2004111
4 200289
5 200879
6 201268
7 201457
8 201141
9 200831
10 201330
11 200419
12 202217
13
Hutter C, Kauer M, Simonitsch-Klupp I et al.Notch is active in Langerhans cell histiocytosis and confers pathognomonic features on dendritic cells. Blood 120:5199-5208
20124
14
Abstract #247: HIF-1\#945; mediates hypoxia modulation of EWS-FLI1 expression in Ewing\#8217;s sarcoma family tumors
20091

About Max Kauer

Max Kauer is a scholar working on Hematology, Geriatrics and Gerontology, Insect Science, Genetics and Immunology, having authored 14 papers that have together received 869 indexed citations. Recurring topics across this work include Genetic diversity and population structure (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Mast cells and histamine (2 papers), Evolution and Genetic Dynamics (2 papers), Cancer-related Molecular Pathways (2 papers), Histiocytic Disorders and Treatments (2 papers), Wheat and Barley Genetics and Pathology (1 paper) and Nerve injury and regeneration (1 paper). The work is most often cited by research in Genetics (407 citations), Insect Science (103 citations), Hematology (63 citations), Ecology, Evolution, Behavior and Systematics (102 citations) and Molecular Biology (324 citations). Max Kauer has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Christian Schlötterer, Daniel Dieringer, Bettina Harr, Barbara Zangerl, Phillip J. Daborn, Janet L. Yen, Richard H. ffrench‐Constant, Francesco Catania, Raphaela Schwentner and Heinrich Kovar. Their work appears in journals such as Cancer Research, Genetics, Leukemia, Clinical Cancer Research and Glia.

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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