Upik Anderiani Miskad
- Co-authors
- Hirotaka KatoShuho SembaHiroshi YokozakiYasushi SeoMasato KasugaIrawan YusufYuzo KodamaKazuyoshi Yanagihara
- Topics
- Cancer Cells and Metastasis (8 papers)Liver Disease Diagnosis and Treatment (5 papers)Galectins and Cancer Biology (5 papers)
In The Last Decade
Upik Anderiani Miskad
44 papers receiving 496 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 316
- Immunology 162
- Oncology 108
- Epidemiology 71
- Cancer Research 66
Countries citing papers authored by Upik Anderiani Miskad
This map shows the geographic impact of Upik Anderiani Miskad'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 Upik Anderiani Miskad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Upik Anderiani Miskad more than expected).
Fields of papers citing papers by Upik Anderiani Miskad
This network shows the impact of papers produced by Upik Anderiani Miskad. 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 Upik Anderiani Miskad. The network helps show where Upik Anderiani Miskad may publish in the future.
Co-authorship network of co-authors of Upik Anderiani Miskad
This figure shows the co-authorship network connecting the top 25 collaborators of Upik Anderiani Miskad. A scholar is included among the top collaborators of Upik Anderiani Miskad 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 Upik Anderiani Miskad. Upik Anderiani Miskad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 20 | |
| 14 | 2 | |
| 15 | Evaluation of Topical Red Dragon Fruit Extract Effect (Hylocereus Polyrhizus) on Tissue Granulation and Epithelialization in Diabetes Mellitus (DM) and Non-DM Wistar Rats: Pre Eliminary Study | 7 |
| 16 | Correlation of Baseline BCL-2 mRNA Expression and Clinical Response to Neoadjuvant Chemotherapy in Breast Cancer | 1 |
| 17 | IDENTIFY AND ANALYZE MOLECULAR MARKERS IN THE PROGRESSION AND METASTASIS OF COLORECTAL CANCER | 1 |
| 18 | 21 | |
| 19 | 14 | |
| 20 | 21 |
About Upik Anderiani Miskad
Upik Anderiani Miskad is a scholar working on Obstetrics and Gynecology, Oncology and Immunology, having authored 59 papers that have together received 506 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Liver Disease Diagnosis and Treatment (5 papers) and Galectins and Cancer Biology (5 papers). The work is most often cited by research in Immunology (162 citations), Hepatology (54 citations) and Molecular Biology (316 citations). Upik Anderiani Miskad has collaborated with scholars based in Indonesia, Japan and Italy. Frequent co-authors include Hirotaka Kato, Shuho Semba, Hiroshi Yokozaki, Yasushi Seo, Masato Kasuga, Irawan Yusuf, Yuzo Kodama, Kazuyoshi Yanagihara, Naoko Maeda and Y. Matsukawa. Their work appears in journals such as Scientific Reports, Clinical Cancer Research and Annals of Oncology.
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.