Christian Langer
- Molecular Biology top 5%
- Hematology top 0.5%
- Cancer Research top 2%
- Oncology top 5%
- Genetics top 2%
- Co-authors
- Peter PaschkaRichard A. LarsonGuido MarcucciKrzysztof MrózekSusan P. WhitmanJonathan E. KolitzClara D. BloomfieldClaudia D. Baldus
- Topics
- Multiple Myeloma Research and Treatments (38 papers)Acute Myeloid Leukemia Research (15 papers)Protein Degradation and Inhibitors (14 papers)
- Cited by
- HematologyCancer ResearchGenetics
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Christian Langer
81 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.7k
- Hematology 1.6k
- Cancer Research 744
- Oncology 489
- Genetics 401
Countries citing papers authored by Christian Langer
This map shows the geographic impact of Christian Langer'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 Christian Langer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Langer more than expected).
Fields of papers citing papers by Christian Langer
This network shows the impact of papers produced by Christian Langer. 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 Christian Langer. The network helps show where Christian Langer may publish in the future.
Co-authorship network of co-authors of Christian Langer
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Langer. A scholar is included among the top collaborators of Christian Langer 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 Christian Langer. Christian Langer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | Journal rankings as a means for structuring bibliographic databases: a case study in Economics and Business Studies | 1 |
| 7 | 36 | |
| 8 | 36 | |
| 9 | 1 | |
| 10 | 43 | |
| 11 | 40 | |
| 12 | 43 | |
| 13 | 0 | |
| 14 | 114 | |
| 15 | 14 | |
| 16 | 224 | |
| 17 | 314 | |
| 18 | Wechselkursverschiebungen und Unternehmensreaktionen | 1 |
| 19 | Produktionsverflechtung in der EG : ein interregionales Input-Output-Modell für die Staaten der Europäischen Gemeinschaft | 3 |
| 20 | World trade and production : methodology and tables in ISIC | 2 |
About Christian Langer
Christian Langer is a scholar working on Hematology, Genetics and Archeology, having authored 86 papers that have together received 2.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (38 papers), Acute Myeloid Leukemia Research (15 papers) and Protein Degradation and Inhibitors (14 papers). The work is most often cited by research in Hematology (1.6k citations), Cancer Research (744 citations) and Genetics (401 citations). Christian Langer has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Peter Paschka, Richard A. Larson, Guido Marcucci, Krzysztof Mrózek, Susan P. Whitman, Jonathan E. Kolitz, Clara D. Bloomfield, Claudia D. Baldus, Bayard L. Powell and Michael A. Caligiuri. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.
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.