Daniel Gerhard

4.5k citations
48 papers · 3.4k · 1 hit paper · h-index 10

Impact in

Papers in

Daniel Gerhard

44 papers receiving 3.3k citations

Daniel Gerhard's Hit Papers

Dose-Response Analysis Using R 2015 · 2.8k citations
2.8k0+3+7Years since publication5001k1.5k2k2.5k

Peers

Daniel Gerhard
Comparison fields: 5 of 155
  • Health, Toxicology and Mutagenesis 531
  • Plant Science 771
  • Small Animals 154
  • Pollution 202
  • Insect Science 150
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Colin Ockleford United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Gerhard

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gerhard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Dose-Response Analysis Using R
Hit paper breakdown →
20152822
2 2012182
3 201981
4 201246
5 201320
6 202319
7 201715
8 201112
9 202012
10 201510
11 201810
12 201910
13 20088
14 20098
15 20168
16 20198
17
An alternative to animal testing in the quality control of erythropoietin.
20117
18 20147
19 20167
20 20187

About Daniel Gerhard

Daniel Gerhard is a scholar working on Statistics and Probability, Ecology, Evolution, Behavior and Systematics, Genetics, Plant Science and Cancer Research, having authored 48 papers that have together received 3.4k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (9 papers), Agriculture, Soil, Plant Science (6 papers), Statistical Methods in Clinical Trials (5 papers), Optimal Experimental Design Methods (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Genetic Associations and Epidemiology (3 papers), Environmental Toxicology and Ecotoxicology (3 papers) and Plant and animal studies (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (531 citations), Plant Science (771 citations), Small Animals (154 citations), Pollution (202 citations) and Insect Science (150 citations). Daniel Gerhard has collaborated with scholars based in New Zealand, Germany and Switzerland. Frequent co-authors include Christian Ritz, Jens Carl Streibig, Florent Baty, Ludwig A. Hothorn, Signe Marie Jensen, Ximena J. Nelson, Hazel Chapman, Pierre‐Michel Forget, Megan J. McAuliffe and Thomas G. Schulze. Their work appears in journals such as Statistics in Biopharmaceutical Research, Archives of Toxicology, Journal of Biopharmaceutical Statistics, Frontiers in Psychology and Journal of Performance of Constructed Facilities.

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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