Andrew G. Watts

2.0k total citations
36 papers, 1.5k citations indexed

About

Andrew G. Watts is a scholar working on Molecular Biology, Organic Chemistry and Epidemiology. According to data from OpenAlex, Andrew G. Watts has authored 36 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 18 papers in Organic Chemistry and 10 papers in Epidemiology. Recurrent topics in Andrew G. Watts's work include Carbohydrate Chemistry and Synthesis (15 papers), Glycosylation and Glycoproteins Research (11 papers) and Trypanosoma species research and implications (7 papers). Andrew G. Watts is often cited by papers focused on Carbohydrate Chemistry and Synthesis (15 papers), Glycosylation and Glycoproteins Research (11 papers) and Trypanosoma species research and implications (7 papers). Andrew G. Watts collaborates with scholars based in United Kingdom, Canada and Australia. Andrew G. Watts's co-authors include Stephen G. Withers, Pedro M. Alzari, Alejandro Buschiazzo, Alberto C.C. Frasch, Iben Damager, M.F. Amaya, Maria L. Amaya, Christian Glover, Warren W. Wakarchuk and Luke L. Lairson and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Andrew G. Watts

36 papers receiving 1.5k citations

Peers

Andrew G. Watts
Comparison fields: 5 of 98
  • Molecular Biology 1.1k
  • Organic Chemistry 576
  • Epidemiology 391
  • Immunology 190
  • Biotechnology 168
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Megan H. Wright United Kingdom View profile →
Citations per field, relative to Andrew G. Watts
Andrew G. Watts · 1×
Citations per year, relative to Andrew G. Watts
Andrew G. Watts · 1×

Countries citing papers authored by Andrew G. Watts

Since Specialization
Citations

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

Fields of papers citing papers by Andrew G. Watts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew G. Watts. 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 Andrew G. Watts. The network helps show where Andrew G. Watts may publish in the future.

Co-authorship network of co-authors of Andrew G. Watts

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew G. Watts. A scholar is included among the top collaborators of Andrew G. Watts 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 Andrew G. Watts. Andrew G. Watts 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
# Work Indexed citations
1 9
2 1
3 5
4 26
5 14
6 40
7 30
8 15
9 155
10 9
11 30
12 107
13 72
14 69
15 100
16 12
17 184
18 166
19 6
20
Microscopy methods to study fat cells: part 1. Characterisation of ovine cutaneous lipids using microscopy
2

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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