Tom Bland
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
Papers in
- Aging 8
- Genetics, Aging, and Longevity in Model Organisms 8
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- Circadian rhythm and melatonin 5
- Co-authors
- Nathan W. Goehring (9 shared papers)Rukshala Illukkumbura (4 shared papers)Aykut Argun (1 shared paper)Zihan Huang (1 shared paper)Jae‐Hyung Jeon (1 shared paper)Yeong-Jin Kim (1 shared paper)Stefano Bo (1 shared paper)Giovanni Volpe (1 shared paper)
- Journals
- Current Biology (2 papers)Journal of Cell Science (1 paper)SAE technical papers on CD-ROM/SAE technical paper series (1 paper)Learning & Memory (1 paper)PLoS Biology (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Tom Bland
11 papers receiving 301 citations
Tom Bland's Hit Papers
Peers
Comparison fields: 5 of 72
- Aging 64
- Modeling and Simulation 53
- Statistical and Nonlinear Physics 67
- Endocrine and Autonomic Systems 21
- Biophysics 19
Countries citing papers authored by Tom Bland
This map shows the geographic impact of Tom Bland'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 Tom Bland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Bland more than expected).
Fields of papers citing papers by Tom Bland
This network shows the impact of papers produced by Tom Bland. 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 Tom Bland. The network helps show where Tom Bland may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Bland, 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 | Objective comparison of methods to decode anomalous diffusion Hit paper breakdown → | 2021 | 173 |
| 2 | 2019 | 39 | |
| 3 | 2019 | 35 | |
| 4 | 2023 | 12 | |
| 5 | 2019 | 11 | |
| 6 | 1983 | 11 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 4 | |
| 11 | 2022 | 2 | |
| 12 | 2024 | 0 |
About Tom Bland
Tom Bland is a scholar working on Aging, Endocrine and Autonomic Systems, Physiology, Plant Science and Molecular Biology, having authored 12 papers that have together received 308 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Circadian rhythm and melatonin (5 papers), Spaceflight effects on biology (3 papers), Neurobiology and Insect Physiology Research (2 papers), Light effects on plants (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Landslides and related hazards (1 paper) and Heat Transfer and Optimization (1 paper). The work is most often cited by research in Aging (64 citations), Modeling and Simulation (53 citations), Statistical and Nonlinear Physics (67 citations), Endocrine and Autonomic Systems (21 citations) and Biophysics (19 citations). Tom Bland has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Nathan W. Goehring, Rukshala Illukkumbura, Aykut Argun, Zihan Huang, Jae‐Hyung Jeon, Yeong-Jin Kim, Stefano Bo, Giovanni Volpe, Gorka Muñoz-Gil and Erez Aghion. Their work appears in journals such as Current Biology, Journal of Cell Science, SAE technical papers on CD-ROM/SAE technical paper series, Learning & Memory and PLoS Biology.
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.