PJ Tutschka
- Hematology top 1%
- Oncology top 10%
- Immunology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Epidemiology
- Co-authors
- EA CopelanGW SantosHG BraineWE BeschornerS BilgramiLL SensenbrennerDavid I. DorskyJonathan Clive
- Topics
- Hematopoietic Stem Cell Transplantation (24 papers)Neutropenia and Cancer Infections (9 papers)Acute Myeloid Leukemia Research (6 papers)
- Cited by
- HematologyTransplantationGenetics
- Journals
- BloodBone Marrow TransplantationPubMed
- Partner nations
- United States
In The Last Decade
PJ Tutschka
42 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 83
- Hematology 1.1k
- Oncology 366
- Immunology 337
- Public Health, Environmental and Occupational Health 240
- Epidemiology 226
Countries citing papers authored by PJ Tutschka
This map shows the geographic impact of PJ Tutschka'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 PJ Tutschka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites PJ Tutschka more than expected).
Fields of papers citing papers by PJ Tutschka
This network shows the impact of papers produced by PJ Tutschka. 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 PJ Tutschka. The network helps show where PJ Tutschka may publish in the future.
Co-authorship network of co-authors of PJ Tutschka
This figure shows the co-authorship network connecting the top 25 collaborators of PJ Tutschka. A scholar is included among the top collaborators of PJ Tutschka 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 PJ Tutschka. PJ Tutschka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 46 | |
| 3 | 5 | |
| 4 | 70 | |
| 5 | 42 | |
| 6 | 36 | |
| 7 | 32 | |
| 8 | 8 | |
| 9 | 15 | |
| 10 | Allogeneic marrow transplantation in non-Hodgkin's lymphoma. | 22 |
| 11 | Bone marrow purging with glucocorticoids. | 1 |
| 12 | 409 | |
| 13 | The role of the thymus in regulating tolerance to self and nonself. | 4 |
| 14 | 75 | |
| 15 | 137 | |
| 16 | Cyclosporin A as a tool for experimental and clinical transplantation. | 4 |
| 17 | In vitro activation of human suppressor cells: relative quantitation and specificity of suppressor cells generated in primary and secondary mixed lymphocyte cultures. | 2 |
| 18 | Cryopreserved autologous bone marrow transplantation in the treatment of selected pediatric malignancies: a preliminary report. | 21 |
| 19 | 2 | |
| 20 | 3 |
About PJ Tutschka
PJ Tutschka is a scholar working on Hematology, Endocrinology and Oncology, having authored 42 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (24 papers), Neutropenia and Cancer Infections (9 papers) and Acute Myeloid Leukemia Research (6 papers). The work is most often cited by research in Hematology (1.1k citations), Transplantation (68 citations) and Genetics (201 citations). PJ Tutschka has collaborated with scholars based in United States. Frequent co-authors include EA Copelan, GW Santos, HG Braine, WE Beschorner, S Bilgrami, LL Sensenbrenner, David I. Dorsky, Jonathan Clive, AD Hess and WB Bias. Their work appears in journals such as Blood, Bone Marrow Transplantation and PubMed.
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.