J. Kalmus
- Oncology top 5%
- Pathology and Forensic Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Hepatology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Christian KappelerRui‐Hua XuTae Won KimTianshu LiuHongming PanShukui QinYuxian BaiAnh T. Le
- Topics
- Colorectal Cancer Treatments and Studies (12 papers)Cancer Treatment and Pharmacology (11 papers)Lung Cancer Treatments and Mutations (5 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
J. Kalmus
22 papers receiving 1000 citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Oncology 708
- Pathology and Forensic Medicine 360
- Pulmonary and Respiratory Medicine 294
- Hepatology 189
- Radiology, Nuclear Medicine and Imaging 129
Countries citing papers authored by J. Kalmus
This map shows the geographic impact of J. Kalmus'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 J. Kalmus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Kalmus more than expected).
Fields of papers citing papers by J. Kalmus
This network shows the impact of papers produced by J. Kalmus. 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 J. Kalmus. The network helps show where J. Kalmus may publish in the future.
Co-authorship network of co-authors of J. Kalmus
This figure shows the co-authorship network connecting the top 25 collaborators of J. Kalmus. A scholar is included among the top collaborators of J. Kalmus 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 J. Kalmus. J. Kalmus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 15 | |
| 8 | Regorafenib plus best supportive care versus placebo plus best supportive care in Asian patients with previously treated metastatic colorectal cancer (CONCUR): a randomised, double-blind, placebo-controlled, phase 3 trialbreakdown → | 553 |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | 77 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 12 | |
| 17 | 146 | |
| 18 | 62 | |
| 19 | Yttrium-90 ibritumomab tiuxetan (zevalin) induces high response rates in previously treated patients with diffuse large B cell lymphoma (DLBCL) | 7 |
| 20 | Dose-dependent effects of hydralazine on microcirculatory function and hyperthermic response of murine FSall tumors. | 44 |
About J. Kalmus
J. Kalmus is a scholar working on Oncology, Cancer Research and Genetics, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (12 papers), Cancer Treatment and Pharmacology (11 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Oncology (708 citations), Hepatology (189 citations) and Pathology and Forensic Medicine (360 citations). J. Kalmus has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Christian Kappeler, Rui‐Hua Xu, Tae Won Kim, Tianshu Liu, Hongming Pan, Shukui Qin, Yuxian Bai, Anh T. Le, Liwei Wang and Brigette Ma. Their work appears in journals such as Journal of Clinical Oncology, Blood and The Lancet 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.