Andrew Macklin
Impact in
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
-
- Cancer Genomics and Diagnostics
Papers in
-
- Diabetes Management and Research 4
- Diabetes Treatment and Management 4
- Hyperglycemia and glycemic control in critically ill and hospitalized patients 1
- Co-authors
- Thomas Kislinger (7 shared papers)Shahbaz Khan (2 shared papers)José Sotelo‐Silveira (2 shared papers)Bin Deng (1 shared paper)Derek J. Wilson (1 shared paper)Cristina Lento (1 shared paper)Jianrong Xu (1 shared paper)Joaquina Farías (2 shared papers)
- Journals
- Nature Communications (2 papers)Scientific Reports (2 papers)PROTEOMICS - CLINICAL APPLICATIONS (1 paper)mAbs (1 paper)Diabetic Medicine (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Andrew Macklin
16 papers receiving 364 citations
Peers
Comparison fields: 5 of 91
- Spectroscopy 133
- Cancer Research 51
- Molecular Biology 197
- Oncology 43
- Biophysics 9
Countries citing papers authored by Andrew Macklin
This map shows the geographic impact of Andrew Macklin'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 Macklin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Macklin more than expected).
Fields of papers citing papers by Andrew Macklin
This network shows the impact of papers produced by Andrew Macklin. 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 Macklin. The network helps show where Andrew Macklin may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrew Macklin, 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 | 2020 | 220 | |
| 2 | 2017 | 26 | |
| 3 | 2016 | 24 | |
| 4 | 2024 | 17 | |
| 5 | 2020 | 17 | |
| 6 | 2021 | 14 | |
| 7 | 2024 | 13 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 9 | |
| 10 | 2003 | 8 | |
| 11 | 2020 | 6 | |
| 12 | 2021 | 3 | |
| 13 | 2023 | 2 | |
| 14 | 2021 | 1 | |
| 15 | 2020 | 1 | |
| 16 | 2014 | 1 | |
| 17 | 2013 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2016 | 0 | |
| 20 | New Ideas of Wonder: Haptic Time in Organic Architecture | 2007 | 0 |
About Andrew Macklin
Andrew Macklin is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Spectroscopy, Oncology and Cancer Research, having authored 20 papers that have together received 373 indexed citations. Recurring topics across this work include Diabetes Management and Research (4 papers), Diabetes Treatment and Management (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Nerve injury and regeneration (2 papers), Pancreatic function and diabetes (2 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Spectroscopy (133 citations), Cancer Research (51 citations), Molecular Biology (197 citations), Oncology (43 citations) and Biophysics (9 citations). Andrew Macklin has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Thomas Kislinger, Shahbaz Khan, José Sotelo‐Silveira, Bin Deng, Derek J. Wilson, Cristina Lento, Jianrong Xu, Joaquina Farías, Vladimir Ignatchenko and Adnan Sljoka. Their work appears in journals such as Nature Communications, Scientific Reports, PROTEOMICS - CLINICAL APPLICATIONS, mAbs and Diabetic Medicine.
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.