Kim Kaiser
Impact in
- Aging top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Neurobiology and Insect Physiology Research
Papers in ⓘ
- Aging 2
-
- Neurobiology and Insect Physiology Research 18
- Co-authors
- J. Douglas Armstrong (10 shared papers)Mingyao Yang (6 shared papers)Julian A. T. Dow (10 shared papers)Zongsheng Wang (6 shared papers)Noreen E. Murray (2 shared papers)Mehmet A. Sözen (3 shared papers)Tim Tully (2 shared papers)Shireen A. Davies (4 shared papers)
- Journals
- Gene (4 papers)Journal of Cell Science (3 papers)Neuron (3 papers)Genetics (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Kim Kaiser
50 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 112
- Aging 224
- Cellular and Molecular Neuroscience 2.2k
- Endocrine and Autonomic Systems 259
- Genetics 976
- Insect Science 403
Countries citing papers authored by Kim Kaiser
This map shows the geographic impact of Kim Kaiser'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 Kim Kaiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Kaiser more than expected).
Fields of papers citing papers by Kim Kaiser
This network shows the impact of papers produced by Kim Kaiser. 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 Kim Kaiser. The network helps show where Kim Kaiser may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim Kaiser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 420 | |
| 2 | 1995 | 302 | |
| 3 | 2000 | 254 | |
| 4 | 1997 | 201 | |
| 5 | 1994 | 187 | |
| 6 | 1999 | 151 | |
| 7 | 1979 | 150 | |
| 8 | 1997 | 150 | |
| 9 | 1999 | 150 | |
| 10 | 1997 | 146 | |
| 11 | 1998 | 144 | |
| 12 | 1998 | 126 | |
| 13 | 1995 | 122 | |
| 14 | 1996 | 101 | |
| 15 | 1998 | 95 | |
| 16 | 1996 | 84 | |
| 17 | 1998 | 69 | |
| 18 | 1982 | 68 | |
| 19 | 1997 | 57 | |
| 20 | 1997 | 56 |
About Kim Kaiser
Kim Kaiser is a scholar working on Aging, Cellular and Molecular Neuroscience, Genetics, Molecular Biology and Cell Biology, having authored 51 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (18 papers), Genomics and Chromatin Dynamics (8 papers), RNA and protein synthesis mechanisms (8 papers), Plant Molecular Biology Research (5 papers), Bacterial Genetics and Biotechnology (5 papers), Insect Resistance and Genetics (5 papers), ATP Synthase and ATPases Research (4 papers) and DNA Repair Mechanisms (4 papers). The work is most often cited by research in Aging (224 citations), Cellular and Molecular Neuroscience (2.2k citations), Endocrine and Autonomic Systems (259 citations), Genetics (976 citations) and Insect Science (403 citations). Kim Kaiser has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include J. Douglas Armstrong, Mingyao Yang, Julian A. T. Dow, Zongsheng Wang, Noreen E. Murray, Mehmet A. Sözen, Tim Tully, Shireen A. Davies, Michael Forte and Ian J. H. Roberts. Their work appears in journals such as Gene, Journal of Cell Science, Neuron, Genetics and Nucleic Acids Research.
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.