H J Gruss
- Immunology top 10%
- Hematology top 5%
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Genetics top 10%
- Co-authors
- H G DrexlerRobert J. AnderbergStewart D. LymanP.C. de VriesKenneth BraselRaymond G. GoodwinF. HerrmannDaniel Birnbaum
- Topics
- Chronic Lymphocytic Leukemia Research (3 papers)Immune Response and Inflammation (3 papers)T-cell and B-cell Immunology (2 papers)
- Cited by
- HematologyImmunologyGenetics
- Partner nations
- GermanyUnited StatesCanada
In The Last Decade
H J Gruss
13 papers receiving 545 citations
Peers
Comparison fields: 5 of 58
- Immunology 232
- Hematology 165
- Pathology and Forensic Medicine 130
- Molecular Biology 117
- Genetics 101
Countries citing papers authored by H J Gruss
This map shows the geographic impact of H J Gruss'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 J Gruss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H J Gruss more than expected).
Fields of papers citing papers by H J Gruss
This network shows the impact of papers produced by H J Gruss. 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 J Gruss. The network helps show where H J Gruss may publish in the future.
Co-authorship network of co-authors of H J Gruss
This figure shows the co-authorship network connecting the top 25 collaborators of H J Gruss. A scholar is included among the top collaborators of H J Gruss 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 J Gruss. H J Gruss is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 69 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 48 | |
| 5 | 13 | |
| 6 | 55 | |
| 7 | CD30 ligand expression in nonmalignant and Hodgkin's disease-involved lymphoid tissues. | 67 |
| 8 | Expression of FLT3 receptor and FLT3-ligand in human leukemia-lymphoma cell lines. | 92 |
| 9 | Expression of the flt3 receptor and its ligand on hematopoietic cells. | 97 |
| 10 | Expression and regulation of CD30 ligand and CD30 in human leukemia-lymphoma cell lines. | 53 |
| 11 | 20 | |
| 12 | 28 | |
| 13 | Synergy of interleukin 3 and tumor necrosis factor alpha in stimulating clonal growth of acute myelogenous leukemia blasts is the result of induction of secondary hematopoietic cytokines by tumor necrosis factor alpha. | 15 |
About H J Gruss
H J Gruss is a scholar working on Genetics, Immunology and Immunology and Allergy, having authored 13 papers that have together received 559 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), Immune Response and Inflammation (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hematology (165 citations), Immunology (232 citations) and Genetics (101 citations). H J Gruss has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include H G Drexler, Robert J. Anderberg, Stewart D. Lyman, P.C. de Vries, Kenneth Brasel, Raymond G. Goodwin, F. Herrmann, Daniel Birnbaum, Wilhelm G. Dirks and Guido Meierhoff. Their work appears in journals such as Journal of Clinical Oncology, The Journal of Immunology and Gastroenterology.
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.