W Müller-Ruchholtz
- Immunology top 5%
- Surgery top 10%
- Hematology top 5%
- Molecular Biology
- Genetics top 10%
- Co-authors
- K. UlrichsNicholas ZavazavaRudolf HausmannRoman FerstlJörg SteinmannFrank EggertA. BeigelH.‐U. Wottge
- Topics
- T-cell and B-cell Immunology (33 papers)Immunotherapy and Immune Responses (31 papers)Hematopoietic Stem Cell Transplantation (25 papers)
- Cited by
- TransplantationImmunologyHematology
- Partner nations
- GermanyUnited StatesRussia
In The Last Decade
W Müller-Ruchholtz
173 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 110
- Immunology 630
- Surgery 517
- Hematology 271
- Molecular Biology 257
- Genetics 218
Countries citing papers authored by W Müller-Ruchholtz
This map shows the geographic impact of W Müller-Ruchholtz'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 W Müller-Ruchholtz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W Müller-Ruchholtz more than expected).
Fields of papers citing papers by W Müller-Ruchholtz
This network shows the impact of papers produced by W Müller-Ruchholtz. 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 W Müller-Ruchholtz. The network helps show where W Müller-Ruchholtz may publish in the future.
Co-authorship network of co-authors of W Müller-Ruchholtz
This figure shows the co-authorship network connecting the top 25 collaborators of W Müller-Ruchholtz. A scholar is included among the top collaborators of W Müller-Ruchholtz 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 W Müller-Ruchholtz. W Müller-Ruchholtz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 12 | |
| 3 | 2 | |
| 4 | Down-regulation of xenophile antibodies by 15-deoxyspergualin in an experimental animal model. | 1 |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 5 | |
| 8 | 19 | |
| 9 | 27 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | Tracheal transplantation. II. Influence of genetic difference and degree of sensitization on reactions to the tracheal transplant. | 14 |
| 16 | 8 | |
| 17 | Modulation of immune reactions by antilymphocyte serum. | 3 |
| 18 | Bone marrow transplantation in rats across strong histocompatibility barriers by selective elimination of lymphoid cells in donor marrow. | 39 |
| 19 | 6 | |
| 20 | 9 |
About W Müller-Ruchholtz
W Müller-Ruchholtz is a scholar working on Transplantation, Immunology and Hematology, having authored 180 papers that have together received 1.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (33 papers), Immunotherapy and Immune Responses (31 papers) and Hematopoietic Stem Cell Transplantation (25 papers). The work is most often cited by research in Transplantation (151 citations), Immunology (630 citations) and Hematology (271 citations). W Müller-Ruchholtz has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include K. Ulrichs, Nicholas Zavazava, Rudolf Hausmann, Roman Ferstl, Jörg Steinmann, Frank Eggert, A. Beigel, H.‐U. Wottge, Axel Heiser and E. Westphal. Their work appears in journals such as Nature, The Journal of Immunology and Diabetes.
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.