TS Kickler
Impact in
- Hematology top 2%
- Blood groups and transfusion
- Platelet Disorders and Treatments
- Biochemistry top 5%
- Blood transfusion and management
Papers in
- Hematology 18
- Blood groups and transfusion 18
- Platelet Disorders and Treatments 13
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- Blood transfusion and management 6
- Co-authors
- H. Braine (2 shared papers)PM Ness (5 shared papers)P. M. Ness (2 shared papers)Bell Wr (2 shared papers)HG Braine (3 shared papers)TJ Kunicki (2 shared papers)Rosetta Sue Shirey (7 shared papers)Kenichi Furihata (2 shared papers)
- Journals
- Blood (12 papers)Transfusion (7 papers)Acta Haematologica (1 paper)Journal of Nuclear Medicine (1 paper)Immunohematology (2 papers)
- Partner nations
- United States
In The Last Decade
TS Kickler
22 papers receiving 401 citations
Peers
Comparison fields: 5 of 39
- Hematology 357
- Biochemistry 102
- Genetics 109
- Internal Medicine 10
- Genetics 22
Countries citing papers authored by TS Kickler
This map shows the geographic impact of TS Kickler'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 TS Kickler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TS Kickler more than expected).
Fields of papers citing papers by TS Kickler
This network shows the impact of papers produced by TS Kickler. 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 TS Kickler. The network helps show where TS Kickler may publish in the future.
Co-authors
The 25 scholars most cited alongside TS Kickler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 58 | |
| 2 | 1988 | 56 | |
| 3 | 1985 | 56 | |
| 4 | 1986 | 51 | |
| 5 | 1983 | 49 | |
| 6 | 1994 | 36 | |
| 7 | 1985 | 23 | |
| 8 | 1994 | 16 | |
| 9 | 1985 | 13 | |
| 10 | 1989 | 13 | |
| 11 | 1987 | 11 | |
| 12 | 2009 | 9 | |
| 13 | 1989 | 8 | |
| 14 | 1988 | 7 | |
| 15 | 1990 | 7 | |
| 16 | 1990 | 6 | |
| 17 | 2003 | 5 | |
| 18 | 1989 | 2 | |
| 19 | 1988 | 2 | |
| 20 | An enzyme-linked immunoabsorbent assay for estimating red cell survival of transfused red cells-validation using CR-51 labeling | 1984 | 1 |
About TS Kickler
TS Kickler is a scholar working on Hematology, Biochemistry, Genetics, Immunology and Allergy and Immunology, having authored 24 papers that have together received 431 indexed citations. Recurring topics across this work include Blood groups and transfusion (18 papers), Platelet Disorders and Treatments (13 papers), Blood disorders and treatments (9 papers), Blood transfusion and management (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Cell Adhesion Molecules Research (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Pediatric Hepatobiliary Diseases and Treatments (1 paper). The work is most often cited by research in Hematology (357 citations), Biochemistry (102 citations), Genetics (109 citations), Internal Medicine (10 citations) and Genetics (22 citations). TS Kickler has collaborated with scholars based in United States. Frequent co-authors include H. Braine, PM Ness, P. M. Ness, Bell Wr, HG Braine, TJ Kunicki, Rosetta Sue Shirey, Kenichi Furihata, Ying Shun Jin and Paul M. Ness. Their work appears in journals such as Blood, Transfusion, Acta Haematologica, Journal of Nuclear Medicine and Immunohematology.
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.