George Garratty
- Hematology top 0.1%
- Physiology top 0.5%
- Genetics top 1%
- Immunology top 2%
- Genetics top 0.5%
- Co-authors
- Patricia A. ArndtLawrence D. PetzSandra J. NanceRegina M. LegerSimone A. GlynnGeorge B. SchreiberLinda S. ChanSusanne Koling
- Topics
- Blood groups and transfusion (170 papers)Erythrocyte Function and Pathophysiology (103 papers)Blood disorders and treatments (64 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
George Garratty
217 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Hematology 4.3k
- Physiology 2.6k
- Genetics 1.7k
- Immunology 1.2k
- Genetics 1.2k
Countries citing papers authored by George Garratty
This map shows the geographic impact of George Garratty'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 George Garratty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Garratty more than expected).
Fields of papers citing papers by George Garratty
This network shows the impact of papers produced by George Garratty. 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 George Garratty. The network helps show where George Garratty may publish in the future.
Co-authorship network of co-authors of George Garratty
This figure shows the co-authorship network connecting the top 25 collaborators of George Garratty. A scholar is included among the top collaborators of George Garratty 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 George Garratty. George Garratty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 11 | |
| 3 | 112 | |
| 4 | 27 | |
| 5 | Relationship of blood groups to disease: do blood group antigens have a biological role? | 27 |
| 6 | La relación de los grupos sanguíneos con la enfermedad: ¿tienen los antígenos de grupos sanguíneos un papel biológico? | 2 |
| 7 | What do you do when all units are incompatible | 2 |
| 8 | 122 | |
| 9 | 51 | |
| 10 | Serological findings in autoimmune hemolytic anemia associated with both warm and cold autoantibodies | 2 |
| 11 | 2 | |
| 12 | 85 | |
| 13 | 65 | |
| 14 | 11 | |
| 15 | 29 | |
| 16 | Immune destruction of red blood cells | 51 |
| 17 | Red cell antigens and antibodies | 38 |
| 18 | Current concepts in transfusion therapy | 38 |
| 19 | Hemolytic disease of the newborn | 3 |
| 20 | 19 |
About George Garratty
George Garratty is a scholar working on Hematology, Physiology and Biochemistry, having authored 221 papers that have together received 7.1k indexed citations. Recurring topics across this work include Blood groups and transfusion (170 papers), Erythrocyte Function and Pathophysiology (103 papers) and Blood disorders and treatments (64 papers). The work is most often cited by research in Hematology (4.3k citations), Biochemistry (729 citations) and Management of Technology and Innovation (828 citations). George Garratty has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Patricia A. Arndt, Lawrence D. Petz, Sandra J. Nance, Regina M. Leger, Simone A. Glynn, George B. Schreiber, Linda S. Chan, Susanne Koling, Jonathan K. Armstrong and Timothy S. Fisher. Their work appears in journals such as Blood, The Journal of Immunology and Neurology.
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.