Mitsuo Kitahara
- Infectious Diseases top 10%
- Epidemiology
- Immunology
- Small Animals top 10%
- Molecular Biology
- Co-authors
- G S KobayashiGerald MedoffHarmon J. EyreV. SethHarry R. HillMarvin L. RallisonRobert E. LynchThomas M. Cosgriff
- Topics
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers)Antifungal resistance and susceptibility (3 papers)Respiratory viral infections research (2 papers)
- Partner nations
- United StatesJapanPakistan
In The Last Decade
Mitsuo Kitahara
18 papers receiving 301 citations
Peers
Comparison fields: 5 of 79
- Infectious Diseases 138
- Epidemiology 117
- Immunology 68
- Small Animals 40
- Molecular Biology 40
Countries citing papers authored by Mitsuo Kitahara
This map shows the geographic impact of Mitsuo Kitahara'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 Mitsuo Kitahara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuo Kitahara more than expected).
Fields of papers citing papers by Mitsuo Kitahara
This network shows the impact of papers produced by Mitsuo Kitahara. 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 Mitsuo Kitahara. The network helps show where Mitsuo Kitahara may publish in the future.
Co-authorship network of co-authors of Mitsuo Kitahara
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuo Kitahara. A scholar is included among the top collaborators of Mitsuo Kitahara 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 Mitsuo Kitahara. Mitsuo Kitahara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 1 | |
| 5 | 11 | |
| 6 | 10 | |
| 7 | Clinical evaluation of combination therapy with tobramycin and ceftazidime for severe infections associated with hematological disorders | 1 |
| 8 | 2 | |
| 9 | Management of upper respiratory tract infections in Japan. | 1 |
| 10 | 14 | |
| 11 | 71 | |
| 12 | 25 | |
| 13 | 4 | |
| 14 | Monocyte functional and metabolic activity in malignant and inflammatory diseases. | 25 |
| 15 | Neutrophil myeloperoxidase: a simple, reproducible technique to determine activity. | 25 |
| 16 | 7 | |
| 17 | 36 | |
| 18 | 30 | |
| 19 | 74 |
About Mitsuo Kitahara
Mitsuo Kitahara is a scholar working on Endocrinology, Infectious Diseases and Epidemiology, having authored 19 papers that have together received 350 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Antifungal resistance and susceptibility (3 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Infectious Diseases (138 citations), Small Animals (40 citations) and Clinical Biochemistry (36 citations). Mitsuo Kitahara has collaborated with scholars based in United States, Japan and Pakistan. Frequent co-authors include G S Kobayashi, Gerald Medoff, Harmon J. Eyre, V. Seth, Harry R. Hill, Marvin L. Rallison, Robert E. Lynch, Thomas M. Cosgriff, Takahide Kikuchi and Tetsuo Nakayama. Their work appears in journals such as JAMA, Annals of Internal Medicine and Cancer.
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.