Ian B. Dodd
Impact in
- Genetics top 1%
- Bacterial Genetics and Biotechnology
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Gene Regulatory Network Analysis
- Epigenetics and DNA Methylation
- CRISPR and Genetic Engineering
- Genomics and Phylogenetic Studies
Papers in
- Hematology 14
- Blood Coagulation and Thrombosis Mechanisms 13
- Genetics 34
- Bacterial Genetics and Biotechnology 27
- Co-authors
- J. Barry EganKim SneppenKeith E. ShearwinMille Ankerstjerne MicheelsenGeneviève ThonNan HaoJ.H. RobinsonJan O. Haerter
- Journals
- Nucleic Acids Research (11 papers)Journal of Molecular Biology (8 papers)Thrombosis and Haemostasis (6 papers)Journal of Biological Chemistry (4 papers)Virology (4 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Ian B. Dodd
86 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 118
- Genetics 1.3k
- Molecular Biology 2.7k
- Ecology 813
- Endocrinology 125
- Hematology 193
Countries citing papers authored by Ian B. Dodd
This map shows the geographic impact of Ian B. Dodd'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 Ian B. Dodd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian B. Dodd more than expected).
Fields of papers citing papers by Ian B. Dodd
This network shows the impact of papers produced by Ian B. Dodd. 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 Ian B. Dodd. The network helps show where Ian B. Dodd may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ian B. Dodd, 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 | 2023 | 1 | |
| 2 | 2021 | 4 | |
| 3 | 2021 | 2 | |
| 4 | 2020 | 2 | |
| 5 | 2014 | 6 | |
| 6 | 2012 | 36 | |
| 7 | 2010 | 14 | |
| 8 | 2007 | 323 | |
| 9 | 2006 | 27 | |
| 10 | 2004 | 80 | |
| 11 | 2004 | 20 | |
| 12 | Preclinical and clinical progression of a membrane-targeted complement regulator therapeutic | 2001 | 7 |
| 13 | 2000 | 58 | |
| 14 | 1998 | 18 | |
| 15 | 1996 | 18 | |
| 16 | 1995 | 29 | |
| 17 | 1993 | 23 | |
| 18 | 1990 | 41 | |
| 19 | 1989 | 3 | |
| 20 | 1986 | 29 |
About Ian B. Dodd
Ian B. Dodd is a scholar working on Hematology, Genetics, Molecular Biology, Cancer Research and Ecology, having authored 89 papers that have together received 3.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (27 papers), Bacterial Genetics and Biotechnology (27 papers), Bacteriophages and microbial interactions (21 papers), Genomics and Chromatin Dynamics (19 papers), Protease and Inhibitor Mechanisms (14 papers), Blood Coagulation and Thrombosis Mechanisms (13 papers), CRISPR and Genetic Engineering (12 papers) and Complement system in diseases (8 papers). The work is most often cited by research in Genetics (1.3k citations), Molecular Biology (2.7k citations), Ecology (813 citations), Endocrinology (125 citations) and Hematology (193 citations). Ian B. Dodd has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include J. Barry Egan, Kim Sneppen, Keith E. Shearwin, Mille Ankerstjerne Micheelsen, Geneviève Thon, Nan Hao, J.H. Robinson, Jan O. Haerter, Cecilia Lövkvist and Richard A. Smith. Their work appears in journals such as Nucleic Acids Research, Journal of Molecular Biology, Thrombosis and Haemostasis, Journal of Biological Chemistry and Virology.
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.