K.M. Goodman
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
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- Axon Guidance and Neuronal Signaling
- Neuroscience and Neuropharmacology Research
Papers in
-
- Wnt/β-catenin signaling in development and cancer 6
- Protein Structure and Dynamics 3
- RNA Research and Splicing 2
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- Axon Guidance and Neuronal Signaling 7
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Lawrence Shapiro (10 shared papers)Barry Honig (7 shared papers)Tom Maniatis (6 shared papers)Seetha Mannepalli (8 shared papers)Rotem Rubinstein (6 shared papers)Fabiana Bahna (7 shared papers)Göran Ahlsén (7 shared papers)Chan Aye Thu (4 shared papers)
- Journals
- eLife (3 papers)Neuron (2 papers)Nature (2 papers)Proceedings of the National Academy of Sciences (2 papers)Chemical Physics Letters (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
K.M. Goodman
16 papers receiving 835 citations
Peers
Comparison fields: 5 of 90
- Cell Biology 231
- Cellular and Molecular Neuroscience 243
- Molecular Biology 617
- Developmental Neuroscience 26
- Neurology 30
Countries citing papers authored by K.M. Goodman
This map shows the geographic impact of K.M. Goodman'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.M. Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.M. Goodman more than expected).
Fields of papers citing papers by K.M. Goodman
This network shows the impact of papers produced by K.M. Goodman. 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.M. Goodman. The network helps show where K.M. Goodman may publish in the future.
Co-authors
The 25 scholars most cited alongside K.M. Goodman, 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 | 2009 | 139 | |
| 2 | 2015 | 126 | |
| 3 | 2017 | 83 | |
| 4 | 2016 | 77 | |
| 5 | 2019 | 76 | |
| 6 | 2014 | 60 | |
| 7 | 2014 | 57 | |
| 8 | 2016 | 49 | |
| 9 | 2017 | 48 | |
| 10 | 2016 | 40 | |
| 11 | 2017 | 33 | |
| 12 | 2022 | 20 | |
| 13 | 1975 | 15 | |
| 14 | 2021 | 8 | |
| 15 | 2025 | 4 | |
| 16 | 1975 | 3 |
About K.M. Goodman
K.M. Goodman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Atmospheric Science and Organic Chemistry, having authored 16 papers that have together received 838 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (7 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Neuroscience and Neuropharmacology Research (3 papers), Protein Structure and Dynamics (3 papers), Cellular transport and secretion (2 papers), Atmospheric chemistry and aerosols (2 papers), RNA Research and Splicing (2 papers) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Cell Biology (231 citations), Cellular and Molecular Neuroscience (243 citations), Molecular Biology (617 citations), Developmental Neuroscience (26 citations) and Neurology (30 citations). K.M. Goodman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Lawrence Shapiro, Barry Honig, Tom Maniatis, Seetha Mannepalli, Rotem Rubinstein, Fabiana Bahna, Göran Ahlsén, Chan Aye Thu, Adnan Halim and Henrik Clausen. Their work appears in journals such as eLife, Neuron, Nature, Proceedings of the National Academy of Sciences and Chemical Physics Letters.
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.