K. Drummond
Impact in
- Genetics top 10%
- Glioma Diagnosis and Treatment
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
- Genetics 8
- Glioma Diagnosis and Treatment 8
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- Glycosylation and Glycoproteins Research 3
- Co-authors
- Jeremy E. Turnbull (4 shared papers)Bhasker Amatya (1 shared paper)Mary P. Galea (1 shared paper)Fary Khan (1 shared paper)Terence J. O’Brien (2 shared papers)Jeffrey V. Rosenfeld (1 shared paper)Mastura Monif (1 shared paper)Christopher A. Reid (1 shared paper)
- Journals
- PROTEOMICS (2 papers)Child s Nervous System (1 paper)British Journal of Cancer (1 paper)Neurosurgery (1 paper)NMR in Biomedicine (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
K. Drummond
20 papers receiving 401 citations
Peers
Comparison fields: 5 of 86
- Genetics 108
- Physiology 40
- Neurology 54
- Cell Biology 96
- Biological Psychiatry 14
Countries citing papers authored by K. Drummond
This map shows the geographic impact of K. Drummond'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 K. Drummond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Drummond more than expected).
Fields of papers citing papers by K. Drummond
This network shows the impact of papers produced by K. Drummond. 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 K. Drummond. The network helps show where K. Drummond may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Drummond, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | 2000 | 71 | |
| 3 | 2014 | 67 | |
| 4 | 1999 | 30 | |
| 5 | 2001 | 25 | |
| 6 | 2019 | 20 | |
| 7 | 2003 | 18 | |
| 8 | 2015 | 17 | |
| 9 | 2008 | 17 | |
| 10 | 2011 | 13 | |
| 11 | 2013 | 12 | |
| 12 | 2014 | 8 | |
| 13 | 2019 | 7 | |
| 14 | 2022 | 5 | |
| 15 | Socio-Demographic Factors and heir Impact on the Number of Resections for Patients with Recurrent Glioblastoma | 2013 | 3 |
| 16 | 2018 | 3 | |
| 17 | 2001 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2010 | 1 | |
| 20 | 2017 | 1 |
About K. Drummond
K. Drummond is a scholar working on Genetics, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Epidemiology, having authored 21 papers that have together received 407 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Glycosylation and Glycoproteins Research (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Brain Metastases and Treatment (3 papers), Meningioma and schwannoma management (3 papers), Protease and Inhibitor Mechanisms (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Advanced Neuroimaging Techniques and Applications (1 paper). The work is most often cited by research in Genetics (108 citations), Physiology (40 citations), Neurology (54 citations), Cell Biology (96 citations) and Biological Psychiatry (14 citations). K. Drummond has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Jeremy E. Turnbull, Bhasker Amatya, Mary P. Galea, Fary Khan, Terence J. O’Brien, Jeffrey V. Rosenfeld, Mastura Monif, Christopher A. Reid, Kim L. Powell and David A. Williams. Their work appears in journals such as PROTEOMICS, Child s Nervous System, British Journal of Cancer, Neurosurgery and NMR in Biomedicine.
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.