David A. Entwistle
- Health Informatics top 0.5%
- Organic Chemistry top 2%
- Carbohydrate Chemistry and Synthesis 8
- Catalytic C–H Functionalization Methods 5
- Synthetic Organic Chemistry Methods 5
- Cyclopropane Reaction Mechanisms 5
- Process Chemistry and Technology top 10%
- Inorganic Chemistry top 5%
- Environmental Chemistry top 5%
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- Enzyme Catalysis and Immobilization 11
- Chemical Synthesis and Analysis 5
- Microbial Metabolic Engineering and Bioproduction 4
- Glycosylation and Glycoproteins Research 3
- Co-authors
- Michael A. PfefferNigam H. ShahTomáš HudlickýAndrew ThorpePhilip LendenMichael C. WillisGérard MoineMatthew Hickey
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
David A. Entwistle
29 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Health Informatics 148
- Organic Chemistry 982
- Process Chemistry and Technology 42
- Inorganic Chemistry 203
- Environmental Chemistry 109
Countries citing papers authored by David A. Entwistle
This map shows the geographic impact of David A. Entwistle'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 A. Entwistle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Entwistle more than expected).
Fields of papers citing papers by David A. Entwistle
This network shows the impact of papers produced by David A. Entwistle. 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 A. Entwistle. The network helps show where David A. Entwistle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David A. Entwistle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 9 | |
| 2 | Creation and Adoption of Large Language Models in Medicinebreakdown → | 2023 | 216 |
| 3 | 2021 | 55 | |
| 4 | 2020 | 68 | |
| 5 | 2019 | 41 | |
| 6 | Key Green Chemistry research areas from a pharmaceutical manufacturers’ perspective revisitedbreakdown → | 2018 | 474 |
| 7 | 2018 | 46 | |
| 8 | 2016 | 14 | |
| 9 | 2012 | 9 | |
| 10 | 2012 | 7 | |
| 11 | 2011 | 101 | |
| 12 | 1998 | 24 | |
| 13 | 1997 | 0 | |
| 14 | 1996 | 2 | |
| 15 | 1996 | 33 | |
| 16 | 1995 | 30 | |
| 17 | 1994 | 16 | |
| 18 | 1994 | 19 | |
| 19 | 1993 | 16 | |
| 20 | 1969 | 0 |
About David A. Entwistle
David A. Entwistle is a scholar working on Organic Chemistry, Health Informatics and Process Chemistry and Technology, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (11 papers), Carbohydrate Chemistry and Synthesis (8 papers), Chemical Synthesis and Analysis (5 papers), Catalytic C–H Functionalization Methods (5 papers), Synthetic Organic Chemistry Methods (5 papers), Cyclopropane Reaction Mechanisms (5 papers), Microbial Metabolic Engineering and Bioproduction (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Health Informatics (148 citations), Organic Chemistry (982 citations) and Process Chemistry and Technology (42 citations). David A. Entwistle has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Michael A. Pfeffer, Nigam H. Shah, Tomáš Hudlický, Andrew Thorpe, Philip Lenden, Michael C. Willis, Gérard Moine, Matthew Hickey, Paul Richardson and Stefan G. Koenig. Their work appears in journals such as Chemical Reviews, JAMA and Angewandte Chemie International Edition.
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.