W. Maurer

3.0k citations
136 papers · 2.2k indexed · h-index 24

W. Maurer

128 papers receiving 1.9k citations

Peers

W. Maurer
Comparison fields: 5 of 129
  • Developmental Neuroscience 183
  • Pharmaceutical Science 136
  • Biochemistry 132
  • Cell Biology 207
  • Molecular Biology 847
Replace F.G. Sherman with:
F.G. Sherman United States
B. Dastugue France
Robert S. Decker United States
Sumiko Watanabe Japan
Ellen Wong United States
W. S. Bullough United Kingdom
Frank Dolbeare United States
Samuel S. Chong Singapore
Edgar Zwilling United States
Barbara Wiggert United States
W. Maurer relative to F.G. Sherman United States F.G. Sherman's profile →
Citations per field
00.5×3.4×
F.G. Sherman · 1×
Citations per year

Countries citing papers authored by W. Maurer

Since Specialization
Citations

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

Fields of papers citing papers by W. Maurer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Genetic variation of beech (Fagus sylvatica L.) in Germany: joint evaluation of genetic inventories from several Federal States.
20006
2
Genetic variation at enzyme gene loci of beech.
19953
3
Autoradiographic studies of glial proliferation in different areas of the brain of the 14-day-old rat.
198314
4
Transit times through the cycle phases of jejunal crypt cells of the mouse
19796
5 19753
6 197432
7 19732
8
[Cytological and morphometric investigation of mouse liver regeneration after CCl4 intoxication (author's transl)].
19732
9 197382
10 197210
11
Variabilität der generationszeit bei fetalen Zellarten der Ratte: Autoradiographische untersuchungen nach Dauerinfusion mit 3H-Thymidin
196922
12 19688
13 19664
14 19655
15 1963151
16 196112
17 19602
18
[Study on life time of fibrinogen in men and rabbits].
19571
19 19512
20 19512

About W. Maurer

W. Maurer is a scholar working on Biochemistry, Pharmaceutical Science and Hepatology, having authored 136 papers that have together received 2.2k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (14 papers), DNA and Nucleic Acid Chemistry (12 papers), Chemical Reactions and Isotopes (11 papers), Liver physiology and pathology (9 papers), DNA Repair Mechanisms (8 papers), Microtubule and mitosis dynamics (7 papers), Drug Transport and Resistance Mechanisms (7 papers) and Metabolism and Genetic Disorders (6 papers). The work is most often cited by research in Developmental Neuroscience (183 citations), Pharmaceutical Science (136 citations) and Biochemistry (132 citations). W. Maurer has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Ch. Pilgrim, B. Schultze, Brigitte Schultze, Hubert Korr, E. Koburg, W. Hilscher, K. J. Lennartz, W. Lang, Kurt Wegener and B. Helpap. Their work appears in journals such as Nature, The Journal of Cell Biology and The Journal of Comparative Neurology.

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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