Matthias Höss

3.3k citations
9 papers · 2.0k indexed · 3 hit papers · h-index 9
Topics
DNA Repair Mechanisms (4 papers)Forensic and Genetic Research (3 papers)Paleopathology and ancient diseases (1 paper)

In The Last Decade

Matthias Höss

9 papers receiving 1.9k citations

Hit Papers

DNA extraction from Pleistocene bones by a silica-based p...1993202620042015199319961994100200300

Peers

Matthias Höss
Comparison fields: 5 of 120
  • Molecular Biology 1.1k
  • Genetics 925
  • Ecology 402
  • Archeology 382
  • Paleontology 301
Replace Hákon Jónsson with:
Hákon Jónsson Iceland
Aurélien Ginolhac Luxembourg
B. А. Malyarchuk Russia
Luca Ermini United Kingdom
Mitchell M. Holland United States
R. I. Sukernik Russia
Paolo Francalacci Italy
М. В. Деренко Russia
Aylwyn Scally United Kingdom
Udo Stenzel Germany
Matthias Höss relative to Hákon Jónsson Iceland Hákon Jónsson's profile →
Citations per field
00.5×1.5×
Hákon Jónsson · 1×
Citations per year

Countries citing papers authored by Matthias Höss

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Höss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Höss

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 132
2 148
3 147
4 246
5 292
6
Amino Acid Racemization and the Preservation of Ancient DNAbreakdown →
297
7 114
8
Ancient DNA: Methodological challengesbreakdown →
218
9
DNA extraction from Pleistocene bones by a silica-based purification methodbreakdown →
392

About Matthias Höss

Matthias Höss is a scholar working on Aging, Paleontology and Genetics, having authored 9 papers that have together received 2.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Forensic and Genetic Research (3 papers) and Paleopathology and ancient diseases (1 paper). The work is most often cited by research in Paleontology (301 citations), Archeology (382 citations) and Genetics (925 citations). Matthias Höss has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Svante Pääbo, Hendrik N. Poinar, Jeffrey L. Bada, M. Dizdaroglu, Tomasz H. Zastawny, Paweł Jaruga, Oliva Handt, Matthias Krings, A. P. Currant and Stuart G. Clarkson. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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