EC Inwald
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer survivorship and care
- Cancer Cells and Metastasis
Papers in
-
- Breast Cancer Treatment Studies 7
- Oncology 10
- Cancer survivorship and care 4
- HER2/EGFR in Cancer Research 3
- Cancer Risks and Factors 2
- Co-authors
- Olaf Ortmann (10 shared papers)Monika Klinkhammer‐Schalke (8 shared papers)Michael T Koller (6 shared papers)Florian Zeman (5 shared papers)Ferdinand Hofstädter (5 shared papers)M Gerstenhauer (3 shared papers)Gero Brockhoff (2 shared papers)Matthias Evert (1 shared paper)
In The Last Decade
EC Inwald
12 papers receiving 676 citations
EC Inwald's Hit Papers
Peers
Comparison fields: 5 of 83
- Cancer Research 234
- Oncology 265
- Pathology and Forensic Medicine 67
- Pulmonary and Respiratory Medicine 98
- Radiology, Nuclear Medicine and Imaging 66
Countries citing papers authored by EC Inwald
This map shows the geographic impact of EC Inwald'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 EC Inwald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites EC Inwald more than expected).
Fields of papers citing papers by EC Inwald
This network shows the impact of papers produced by EC Inwald. 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 EC Inwald. The network helps show where EC Inwald may publish in the future.
Co-authors
The 25 scholars most cited alongside EC Inwald, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Ki-67 is a prognostic parameter in breast cancer patients: results of a large population-based cohort of a cancer registry Hit paper breakdown → | 2013 | 479 |
| 2 | 2020 | 96 | |
| 3 | 2014 | 30 | |
| 4 | 2017 | 27 | |
| 5 | 2022 | 23 | |
| 6 | 2015 | 12 | |
| 7 | 2016 | 10 | |
| 8 | 2019 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2018 | 4 | |
| 11 | 2014 | 2 | |
| 12 | 2022 | 1 | |
| 13 | 2014 | 0 | |
| 14 | 2016 | 0 | |
| 15 | 2023 | 0 |
About EC Inwald
EC Inwald is a scholar working on Cancer Research, Oncology, Economics and Econometrics, Pathology and Forensic Medicine and Obstetrics and Gynecology, having authored 15 papers that have together received 695 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Cancer survivorship and care (4 papers), Economic and Financial Impacts of Cancer (3 papers), HER2/EGFR in Cancer Research (3 papers), Multiple and Secondary Primary Cancers (2 papers), Clinical practice guidelines implementation (2 papers), Breast Lesions and Carcinomas (2 papers) and Cancer Risks and Factors (2 papers). The work is most often cited by research in Cancer Research (234 citations), Oncology (265 citations), Pathology and Forensic Medicine (67 citations), Pulmonary and Respiratory Medicine (98 citations) and Radiology, Nuclear Medicine and Imaging (66 citations). EC Inwald has collaborated with scholars based in Germany, Austria and Italy. Frequent co-authors include Olaf Ortmann, Monika Klinkhammer‐Schalke, Michael T Koller, Florian Zeman, Ferdinand Hofstädter, M Gerstenhauer, Gero Brockhoff, Matthias Evert, Stefanie Buchholz and Michael Gerken. Their work appears in journals such as Archives of Gynecology and Obstetrics, Annals of Oncology, Journal of Cancer Research and Clinical Oncology, Breast Cancer Research and Treatment and BioMed Research International.
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.