Katja Specht
Impact in
- Oncology top 1%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
-
- Sarcoma Diagnosis and Treatment 21
- Oncology 27
- HER2/EGFR in Cancer Research 5
- Co-authors
- Heinz Höfler (23 shared papers)Axel Ullrich (3 shared papers)Axel Walch (6 shared papers)U Müller (5 shared papers)Henrik Daub (1 shared paper)Martin Werner (5 shared papers)Thomas Richter (2 shared papers)Raymonde Busch (5 shared papers)
- Journals
- American Journal Of Pathology (4 papers)Clinical Cancer Research (4 papers)The American Journal of Surgical Pathology (4 papers)European Radiology (3 papers)Oncotarget (3 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Katja Specht
82 papers receiving 4.9k citations
Katja Specht's Hit Papers
Peers
Comparison fields: 5 of 116
- Oncology 1.6k
- Cancer Research 617
- Pulmonary and Respiratory Medicine 975
- Molecular Biology 2.2k
- Immunology 605
Countries citing papers authored by Katja Specht
This map shows the geographic impact of Katja Specht'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 Katja Specht with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katja Specht more than expected).
Fields of papers citing papers by Katja Specht
This network shows the impact of papers produced by Katja Specht. 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 Katja Specht. The network helps show where Katja Specht may publish in the future.
Co-authors
The 25 scholars most cited alongside Katja Specht, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 490 | |
| 2 | Direct identification of clinically relevant neoepitopes presented on native human melanoma tissue by mass spectrometry Hit paper breakdown → | 2016 | 478 |
| 3 | 2001 | 405 | |
| 4 | 2004 | 274 | |
| 5 | 2006 | 241 | |
| 6 | Cancer progression and tumor cell motility are associated with the FGFR4 Arg(388) allele. | 2002 | 221 |
| 7 | 2010 | 213 | |
| 8 | 2014 | 175 | |
| 9 | 2000 | 166 | |
| 10 | 2016 | 143 | |
| 11 | 2016 | 123 | |
| 12 | 2013 | 101 | |
| 13 | 2004 | 95 | |
| 14 | 2004 | 93 | |
| 15 | 2005 | 90 | |
| 16 | 2015 | 86 | |
| 17 | 2010 | 84 | |
| 18 | 2003 | 84 | |
| 19 | 2007 | 75 | |
| 20 | 2017 | 72 |
About Katja Specht
Katja Specht is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Pathology and Forensic Medicine and Cancer Research, having authored 83 papers that have together received 5.0k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (21 papers), Cancer Genomics and Diagnostics (7 papers), Molecular Biology Techniques and Applications (7 papers), Bone Tumor Diagnosis and Treatments (6 papers), Esophageal Cancer Research and Treatment (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Breast Cancer Treatment Studies (5 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Oncology (1.6k citations), Cancer Research (617 citations), Pulmonary and Respiratory Medicine (975 citations), Molecular Biology (2.2k citations) and Immunology (605 citations). Katja Specht has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Heinz Höfler, Axel Ullrich, Axel Walch, U Müller, Henrik Daub, Martin Werner, Thomas Richter, Raymonde Busch, Birgit Luber and Erika Rosivatz. Their work appears in journals such as American Journal Of Pathology, Clinical Cancer Research, The American Journal of Surgical Pathology, European Radiology and Oncotarget.
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.