A. Maxwell Burroughs
Impact in
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- Ubiquitin and proteasome pathways
- Endocrinology top 2%
Papers in
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- Vibrio bacteria research studies 6
-
- RNA and protein synthesis mechanisms 23
- RNA modifications and cancer 21
- RNA Research and Splicing 12
- CRISPR and Genetic Engineering 9
- Genomics and Phylogenetic Studies 7
- Co-authors
- L. AravindLakshminarayan M. IyerYoshinari AndoDapeng ZhangDebra Dunaway‐MarianoKaren N. AllenYoshihide HayashizakiCarsten O. Daub
- Journals
- Nucleic Acids Research (7 papers)Nature (5 papers)Biology Direct (4 papers)RNA Biology (2 papers)Proteins Structure Function and Bioinformatics (2 papers)
- Partner nations
- United StatesJapanItaly
In The Last Decade
A. Maxwell Burroughs
60 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 2.8k
- Endocrinology 184
- Cancer Research 538
- Ecology 564
- Genetics 465
Countries citing papers authored by A. Maxwell Burroughs
This map shows the geographic impact of A. Maxwell Burroughs'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 A. Maxwell Burroughs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Maxwell Burroughs more than expected).
Fields of papers citing papers by A. Maxwell Burroughs
This network shows the impact of papers produced by A. Maxwell Burroughs. 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 A. Maxwell Burroughs. The network helps show where A. Maxwell Burroughs may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A. Maxwell Burroughs, 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 | 2025 | 3 | |
| 2 | 2025 | 3 | |
| 3 | 2023 | 81 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 14 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 65 | |
| 10 | 2021 | 11 | |
| 11 | 2020 | 46 | |
| 12 | 2020 | 33 | |
| 13 | 2020 | 45 | |
| 14 | 2019 | 22 | |
| 15 | 2019 | 33 | |
| 16 | 2014 | 24 | |
| 17 | 2013 | 6 | |
| 18 | 2013 | 100 | |
| 19 | 2011 | 53 | |
| 20 | 2009 | 93 |
About A. Maxwell Burroughs
A. Maxwell Burroughs is a scholar working on Endocrinology, Molecular Biology, Ecology, Genetics and Biochemistry, having authored 61 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (23 papers), RNA modifications and cancer (21 papers), Bacteriophages and microbial interactions (13 papers), RNA Research and Splicing (12 papers), Bacterial Genetics and Biotechnology (10 papers), CRISPR and Genetic Engineering (9 papers), Genomics and Phylogenetic Studies (7 papers) and Vibrio bacteria research studies (6 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Endocrinology (184 citations), Cancer Research (538 citations), Ecology (564 citations) and Genetics (465 citations). A. Maxwell Burroughs has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include L. Aravind, Lakshminarayan M. Iyer, Yoshinari Ando, Dapeng Zhang, Debra Dunaway‐Mariano, Karen N. Allen, Yoshihide Hayashizaki, Carsten O. Daub, Harukazu Suzuki and Yasuhiro Tomaru. Their work appears in journals such as Nucleic Acids Research, Nature, Biology Direct, RNA Biology and Proteins Structure Function and Bioinformatics.
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.