Masaru Kojima
- Pathology and Forensic Medicine top 0.2%
- Oncology top 1%
- Rheumatology top 0.5%
- Surgery top 2%
- Neurology top 1%
- Co-authors
- Shigeo NakamuraNobuhide MasawaTadashi YoshinoHideaki ItohKazuhiko ShimizuRitsuro SuzukiTadashi MotooriKatsuyoshi Takata
- Topics
- Lymphoma Diagnosis and Treatment (123 papers)Viral-associated cancers and disorders (93 papers)IgG4-Related and Inflammatory Diseases (31 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Masaru Kojima
221 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 92
- Pathology and Forensic Medicine 2.3k
- Oncology 1.9k
- Rheumatology 1.3k
- Surgery 1.2k
- Neurology 937
Countries citing papers authored by Masaru Kojima
This map shows the geographic impact of Masaru Kojima'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 Masaru Kojima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaru Kojima more than expected).
Fields of papers citing papers by Masaru Kojima
This network shows the impact of papers produced by Masaru Kojima. 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 Masaru Kojima. The network helps show where Masaru Kojima may publish in the future.
Co-authorship network of co-authors of Masaru Kojima
This figure shows the co-authorship network connecting the top 25 collaborators of Masaru Kojima. A scholar is included among the top collaborators of Masaru Kojima 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 Masaru Kojima. Masaru Kojima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Follow-Up Study of Epstein- Barr Virus-Associated Hodgkin's Lymphoma (HL) Developed in a Patient with Rheumatoid Arthritis (RA) and Analysis of Circulating Cytokines and Clinical Parameters: Clarithromycin Coupled with Prednisolone is Effective for Preventing Relapse of HL and Controlling RA | 1 |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 27 | |
| 11 | 23 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 28 | |
| 15 | 118 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 0 | |
| 20 | 1 |
About Masaru Kojima
Masaru Kojima is a scholar working on Pathology and Forensic Medicine, Oncology and Rheumatology, having authored 233 papers that have together received 4.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (123 papers), Viral-associated cancers and disorders (93 papers) and IgG4-Related and Inflammatory Diseases (31 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.3k citations), Rheumatology (1.3k citations) and Oncology (1.9k citations). Masaru Kojima has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Shigeo Nakamura, Nobuhide Masawa, Tadashi Yoshino, Hideaki Itoh, Kazuhiko Shimizu, Ritsuro Suzuki, Tadashi Motoori, Katsuyoshi Takata, Yasuharu Sato and Taizan Suchi. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood 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.