K.M. Goodman
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
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- Axon Guidance and Neuronal Signaling
- Neuroscience and Neuropharmacology Research
Papers in ⓘ
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- Axon Guidance and Neuronal Signaling 7
- Neuroscience and Neuropharmacology Research 3
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- Neurogenesis and neuroplasticity mechanisms 1
- Co-authors
- Barry Honig (10 shared papers)Lawrence Shapiro (10 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)Chemical Physics Letters (2 papers)Neuron (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature (2 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
K.M. Goodman
16 papers receiving 805 citations
Peers
Comparison fields: 5 of 91
- Cell Biology 231
- Cellular and Molecular Neuroscience 237
- Molecular Biology 606
- Developmental Neuroscience 27
- Physiology 17
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 | 137 | |
| 2 | 2015 | 122 | |
| 3 | 2017 | 78 | |
| 4 | 2016 | 76 | |
| 5 | 2019 | 72 | |
| 6 | 2014 | 57 | |
| 7 | 2014 | 53 | |
| 8 | 2016 | 48 | |
| 9 | 2017 | 46 | |
| 10 | 2016 | 39 | |
| 11 | 2017 | 33 | |
| 12 | 2022 | 20 | |
| 13 | 1975 | 14 | |
| 14 | 2021 | 7 | |
| 15 | 2025 | 3 | |
| 16 | 1975 | 3 |
About K.M. Goodman
K.M. Goodman is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Molecular Biology, Cell Biology and Atmospheric Science, having authored 16 papers that have together received 808 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), Protein Structure and Dynamics (3 papers), Neuroscience and Neuropharmacology Research (3 papers), RNA Research and Splicing (2 papers), Atmospheric chemistry and aerosols (2 papers), Cellular transport and secretion (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 (237 citations), Molecular Biology (606 citations), Developmental Neuroscience (27 citations) and Physiology (17 citations). K.M. Goodman has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Barry Honig, Lawrence Shapiro, Tom Maniatis, Seetha Mannepalli, Rotem Rubinstein, Fabiana Bahna, Göran Ahlsén, Chan Aye Thu, Henrik Clausen and Adnan Halim. Their work appears in journals such as eLife, Chemical Physics Letters, Neuron, Proceedings of the National Academy of Sciences and Nature.
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.