M Takada
- Hematology top 10%
- Epidemiology
- Internal Medicine top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- Tadashi MaekawaHiroshi TanakaNorio KobayashiM. FukuokaH NiitaniShigeo ManabeOsamu WadaAkira Yokoyama
- Topics
- Lung Cancer Research Studies (3 papers)Cancer Treatment and Pharmacology (2 papers)Lung Cancer Treatments and Mutations (2 papers)
- Partner nations
- Japan
In The Last Decade
M Takada
18 papers receiving 219 citations
Peers
Comparison fields: 5 of 63
- Hematology 100
- Epidemiology 64
- Internal Medicine 53
- Molecular Biology 44
- Pulmonary and Respiratory Medicine 40
Countries citing papers authored by M Takada
This map shows the geographic impact of M Takada'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 M Takada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Takada more than expected).
Fields of papers citing papers by M Takada
This network shows the impact of papers produced by M Takada. 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 M Takada. The network helps show where M Takada may publish in the future.
Co-authorship network of co-authors of M Takada
This figure shows the co-authorship network connecting the top 25 collaborators of M Takada. A scholar is included among the top collaborators of M Takada 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 M Takada. M Takada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 108 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | [The results of liver cryosurgery for synchronized liver metastasis from colorectal cancer]. | 1 |
| 5 | 2 | |
| 6 | Phase II studies of gemcitabine for non-small cell lung cancer in Japan. | 9 |
| 7 | 15 | |
| 8 | [Perioperative managements of a mentally retarded child with obstructive sleep apnea syndrome for adeno-tonsillectomy]. | 1 |
| 9 | [Pharmacological action of anabolic steroids]. | 1 |
| 10 | [Chemotherapy for small cell lung cancer]. | 1 |
| 11 | [Phase II study of 5'-DFUR in uterine cervical cancer and ovarian cancer]. | 1 |
| 12 | [Chemotherapy of small cell lung cancer]. | 5 |
| 13 | 65 | |
| 14 | [Studies on the endocrinological metabolism of the parathyroid. II. Influence of ACTH on parathyroid function and calcium metabolism]. | 1 |
| 15 | 1 | |
| 16 | 11 | |
| 17 | Vitamin K dependent clotting factors and their inhibitor--with special reference to prothrombin and antithrombin III. | 1 |
| 18 | 2 | |
| 19 | 1 |
About M Takada
M Takada is a scholar working on Oncology, Gastroenterology and Anesthesiology and Pain Medicine, having authored 19 papers that have together received 229 indexed citations. Recurring topics across this work include Lung Cancer Research Studies (3 papers), Cancer Treatment and Pharmacology (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Internal Medicine (53 citations), Hematology (100 citations) and Critical Care and Intensive Care Medicine (27 citations). M Takada has collaborated with scholars based in Japan. Frequent co-authors include Tadashi Maekawa, Hiroshi Tanaka, Norio Kobayashi, M. Fukuoka, H Niitani, Shigeo Manabe, Osamu Wada, Akira Yokoyama, Hisao Matsui and Hiroko Tsukada. Their work appears in journals such as Cancer, British Journal of Cancer and Biochemical Pharmacology.
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.