Matthias P. Machner

2.8k citations
34 papers · 2.1k indexed · h-index 19
Topics
Legionella and Acanthamoeba research (23 papers)Neonatal Health and Biochemistry (8 papers)Vibrio bacteria research studies (7 papers)

In The Last Decade

Matthias P. Machner

34 papers receiving 2.0k citations

Peers

Matthias P. Machner
Comparison fields: 5 of 89
  • Molecular Biology 1.1k
  • Endocrinology 991
  • Immunology 527
  • Cell Biology 458
  • Epidemiology 263
Replace Mauricio R. Terebiznik with:
Mauricio R. Terebiznik Canada
Shaeri Mukherjee United States
Raymond Hellio France
Jörg Selzer Germany
Jonathan N. Pruneda United States
Frédéric Mallard France
Mohammed Benghezal Australia
Alejandro P. Heuck United States
Walter Berón Argentina
André Catic United States
Matthias P. Machner relative to Mauricio R. Terebiznik Canada Mauricio R. Terebiznik's profile →
Citations per field
00.5×1.5×2.4×
Mauricio R. Terebiznik · 1×
Citations per year

Countries citing papers authored by Matthias P. Machner

Since Specialization
Citations

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

Fields of papers citing papers by Matthias P. Machner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias P. Machner

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 7
4 18
5 6
6 46
7 14
8 32
9 33
10 51
11 39
12 25
13 187
14 3
15 147
16 180
17 285
18 23
19 235
20 27

About Matthias P. Machner

Matthias P. Machner is a scholar working on Endocrinology, Biotechnology and Pediatrics, Perinatology and Child Health, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (23 papers), Neonatal Health and Biochemistry (8 papers) and Vibrio bacteria research studies (7 papers). The work is most often cited by research in Endocrinology (991 citations), Cell Biology (458 citations) and Immunology (527 citations). Matthias P. Machner has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Ralph R. Isberg, Tamás Balla, Gerald Hammond, Andrew H. Gaspar, M. Ramona Neunuebel, Yi‐Han Lin, Chen Yang, Dirk W. Heinz, Wolf‐Dieter Schubert and Jürgen Wehland. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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