Hitomi Nakamura
- Molecular Biology
- Immunology top 5%
- Pharmacology top 5%
- Genetics top 10%
- Reproductive Medicine top 5%
- Co-authors
- Emily P. BalskusTadashi KimuraMasayasu KoyamaKazuhide OgitaYasufumi KanedaRyuichi MorishitaKeiichi KumasawaErica E. Schultz
- Topics
- Reproductive System and Pregnancy (26 papers)Pregnancy and preeclampsia studies (12 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hitomi Nakamura
95 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 141
- Molecular Biology 690
- Immunology 431
- Pharmacology 233
- Genetics 228
- Reproductive Medicine 223
Countries citing papers authored by Hitomi Nakamura
This map shows the geographic impact of Hitomi Nakamura'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 Hitomi Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitomi Nakamura more than expected).
Fields of papers citing papers by Hitomi Nakamura
This network shows the impact of papers produced by Hitomi Nakamura. 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 Hitomi Nakamura. The network helps show where Hitomi Nakamura may publish in the future.
Co-authorship network of co-authors of Hitomi Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Hitomi Nakamura. A scholar is included among the top collaborators of Hitomi Nakamura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hitomi Nakamura. Hitomi Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 13 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 26 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 40 | |
| 10 | 5 | |
| 11 | 63 | |
| 12 | 75 | |
| 13 | 18 | |
| 14 | Road sign feature extraction and recognition using dynamic image processing | 4 |
| 15 | 5 | |
| 16 | 56 | |
| 17 | 10 | |
| 18 | 23 | |
| 19 | The Effect of Message-Class Dependent Threshold-Type Scheduling on the Delay for the M / M / n Queue | 1 |
| 20 | [A case of nonspecific ulcer of the rectum to be difficult to differentiate from the rectal cancer on X-ray examination (author's transl)]. | 1 |
About Hitomi Nakamura
Hitomi Nakamura is a scholar working on Obstetrics and Gynecology, Immunology and Reproductive Medicine, having authored 103 papers that have together received 1.9k indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (26 papers), Pregnancy and preeclampsia studies (12 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). The work is most often cited by research in Reproductive Medicine (223 citations), Immunology (431 citations) and Obstetrics and Gynecology (130 citations). Hitomi Nakamura has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Emily P. Balskus, Tadashi Kimura, Masayasu Koyama, Kazuhide Ogita, Yasufumi Kaneda, Ryuichi Morishita, Keiichi Kumasawa, Erica E. Schultz, Chihiro Azuma and Koichiro Shimoya. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and PLoS ONE.
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.