Eri Kondo
Impact in
- Genetics top 10%
- Connective tissue disorders research
- Molecular Biology top 10%
- Photosynthetic Processes and Mechanisms
- Muscle Physiology and Disorders
- Mitochondrial Function and Pathology
Papers in
-
- Muscle Physiology and Disorders 11
- Photosynthetic Processes and Mechanisms 8
- Genetics 13
- Connective tissue disorders research 7
- Co-authors
- Amane Makino (10 shared papers)Akihiro Yasoda (19 shared papers)Toshihito Fujii (18 shared papers)Wataru Yamori (3 shared papers)Yuji Suzuki (5 shared papers)Ichiro Terashima (2 shared papers)Kazuwa Nakao (12 shared papers)Masako Miura (13 shared papers)
- Journals
- Endocrinology (3 papers)Scientific Reports (2 papers)PLANT PHYSIOLOGY (2 papers)Journal of Dental Research (2 papers)Plant Cell & Environment (2 papers)
- Partner nations
- JapanUnited StatesPakistan
In The Last Decade
Eri Kondo
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 97
- Genetics 130
- Molecular Biology 746
- Plant Science 385
- Endocrinology, Diabetes and Metabolism 162
- Genetics 243
Countries citing papers authored by Eri Kondo
This map shows the geographic impact of Eri Kondo'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 Eri Kondo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eri Kondo more than expected).
Fields of papers citing papers by Eri Kondo
This network shows the impact of papers produced by Eri Kondo. 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 Eri Kondo. The network helps show where Eri Kondo may publish in the future.
Co-authors
The 25 scholars most cited alongside Eri Kondo, 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 | 2015 | 125 | |
| 2 | 2017 | 118 | |
| 3 | 2021 | 95 | |
| 4 | 2009 | 92 | |
| 5 | 2015 | 83 | |
| 6 | 1989 | 76 | |
| 7 | 2009 | 75 | |
| 8 | 2012 | 72 | |
| 9 | 2015 | 59 | |
| 10 | Refined mapping of a gene responsible for Fukuyama-type congenital muscular dystrophy: evidence for strong linkage disequilibrium. | 1994 | 54 |
| 11 | 2013 | 46 | |
| 12 | 2017 | 41 | |
| 13 | 2016 | 38 | |
| 14 | 1997 | 37 | |
| 15 | 1987 | 34 | |
| 16 | 2017 | 31 | |
| 17 | 2020 | 29 | |
| 18 | 2020 | 29 | |
| 19 | 2012 | 28 | |
| 20 | 2008 | 22 |
About Eri Kondo
Eri Kondo is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Plant Science, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), Photosynthetic Processes and Mechanisms (8 papers), Connective tissue disorders research (7 papers), Peptidase Inhibition and Analysis (5 papers), Plant nutrient uptake and metabolism (4 papers), Plant Water Relations and Carbon Dynamics (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Hormonal Regulation and Hypertension (3 papers). The work is most often cited by research in Genetics (130 citations), Molecular Biology (746 citations), Plant Science (385 citations), Endocrinology, Diabetes and Metabolism (162 citations) and Genetics (243 citations). Eri Kondo has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include Amane Makino, Akihiro Yasoda, Toshihito Fujii, Wataru Yamori, Yuji Suzuki, Ichiro Terashima, Kazuwa Nakao, Masako Miura, Kayoko Saito and Yuji Suzuki. Their work appears in journals such as Endocrinology, Scientific Reports, PLANT PHYSIOLOGY, Journal of Dental Research and Plant Cell & Environment.
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.