H. Poliwoda
- Oncology top 5%
- Surgery top 10%
- Immunology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Hematology top 5%
- Co-authors
- Jens AtzpodienHartmut KirchnerHans‐Joachim SchmollCarsten BokemeyerHartmut LinkH. DiedrichA. HarstrickEnrique Lopez Hänninen
- Topics
- Cancer Immunotherapy and Biomarkers (19 papers)Testicular diseases and treatments (15 papers)Immunotherapy and Immune Responses (13 papers)
- Cited by
- HematologyOncologyImmunology
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
H. Poliwoda
133 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 97
- Oncology 660
- Surgery 418
- Immunology 384
- Pulmonary and Respiratory Medicine 347
- Hematology 344
Countries citing papers authored by H. Poliwoda
This map shows the geographic impact of H. Poliwoda'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 H. Poliwoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Poliwoda more than expected).
Fields of papers citing papers by H. Poliwoda
This network shows the impact of papers produced by H. Poliwoda. 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 H. Poliwoda. The network helps show where H. Poliwoda may publish in the future.
Co-authorship network of co-authors of H. Poliwoda
This figure shows the co-authorship network connecting the top 25 collaborators of H. Poliwoda. A scholar is included among the top collaborators of H. Poliwoda 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 H. Poliwoda. H. Poliwoda 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 | 30 | |
| 3 | 4 | |
| 4 | 89 | |
| 5 | 7 | |
| 6 | 21 | |
| 7 | 111 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 16 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 2 | |
| 17 | Gerinnungsanalysen : Interpretation, Schnellorientierung, Therapiekontrollen | 2 |
| 18 | Un programa para el análisis observacional: transcriptor v1.11, aplicación en psicología del deporte | 2 |
| 19 | [CLINICAL EXPERIENCES WITH ESTRIOL SUCCINATE IN THE TREATMENT OF HEMORRHAGIC DIATHESIS IN INTERNAL MEDICINE, OBSTETRICS AND GYNECOLOGY]. | 4 |
| 20 | [Alteration of thrombocytopenic hemorrhages with estriol succinate]. | 0 |
About H. Poliwoda
H. Poliwoda is a scholar working on Hematology, Oncology and Internal Medicine, having authored 139 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (19 papers), Testicular diseases and treatments (15 papers) and Immunotherapy and Immune Responses (13 papers). The work is most often cited by research in Hematology (344 citations), Oncology (660 citations) and Immunology (384 citations). H. Poliwoda has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Jens Atzpodien, Hartmut Kirchner, Hans‐Joachim Schmoll, Carsten Bokemeyer, Hartmut Link, H. Diedrich, A. Harstrick, Enrique Lopez Hänninen, P. Markus Deckert and Iris Dallmann. Their work appears in journals such as Nature, New England Journal of Medicine and JAMA.
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.