David M. Rawson

2.6k citations
78 papers · 2.1k · h-index 28

Impact in

Papers in

    • Reproductive biology and impacts on aquatic species 26
    • Zebrafish Biomedical Research Applications 4

David M. Rawson

78 papers receiving 1.9k citations

Peers

David M. Rawson
Comparison fields: 5 of 71
  • Physiology 722
  • Health, Toxicology and Mutagenesis 120
  • Bioengineering 14
  • Waste Management and Disposal 34
  • Cell Biology 58
Replace Gerd Maack with:
Gerd Maack Germany
Luis O.B. Afonso Australia
Zaizhao Wang China
Laurence S. Shore Israel
Hana Kocour Kroupová Czechia
Mitchell S. Kostich United States
Minna Saaristo Australia
Catherine A. Richter United States
Vlastimil Stejskal Czechia
Serean L. Adams New Zealand
David M. Rawson relative to Gerd Maack Germany Gerd Maack's profile →
Citations per field
00.5×2×4×5.7×
Gerd Maack · 1×
Citations per year

Countries citing papers authored by David M. Rawson

Since Specialization
Citations

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

Fields of papers citing papers by David M. Rawson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Rawson. 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 David M. Rawson. The network helps show where David M. Rawson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000167
2 1989144
3 1995110
4 199688
5 199367
6 200964
7 198757
8 200157
9 200355
10 199854
11 199953
12 200553
13 199350
14 200350
15 200444
16 199143
17 200443
18 198542
19 200842
20 199840

About David M. Rawson

David M. Rawson is a scholar working on Physiology, Cell Biology, Waste Management and Disposal, Water Science and Technology and Electrical and Electronic Engineering, having authored 78 papers that have together received 2.1k indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (26 papers), Electrochemical sensors and biosensors (7 papers), Zebrafish Biomedical Research Applications (4 papers), Water Quality and Pollution Assessment (3 papers), Reproductive Biology and Fertility (2 papers), Water Quality Monitoring and Analysis (2 papers), Environmental Toxicology and Ecotoxicology (2 papers) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Physiology (722 citations), Health, Toxicology and Mutagenesis (120 citations), Bioengineering (14 citations), Waste Management and Disposal (34 citations) and Cell Biology (58 citations). David M. Rawson has collaborated with scholars based in United Kingdom, Ukraine and Netherlands. Frequent co-authors include Tiantian Zhang, Tiantian Zhang, Tiantian Zhang, D. Kalicharan, W.L. Jongebloed, Julia Kopeika, Pascal Pandard, Xianghong Liu, Barry G. D. Haggett and Ganna (Anna) Isayeva. Their work appears in journals such as Cryobiology, Theriogenology, European Biophysics Journal, Biosensors and Bioelectronics and Toxicology in Vitro.

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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