Susan DeCroo
Impact in
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
- Genetics top 10%
- Forensic and Genetic Research
- Genetic diversity and population structure
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
Papers in
- Genetics 4
- Forensic and Genetic Research 3
- Genetic Associations and Epidemiology 2
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- Molecular Biology Techniques and Applications 2
- Co-authors
- Ranjan Deka (4 shared papers)Robert E. Ferrell (5 shared papers)Ranajit Chakraborty (2 shared papers)Ling Yu (2 shared papers)Jin Li (2 shared papers)Francisco Rothhammer (2 shared papers)R E Ferrell (4 shared papers)Mark D. Shriver (1 shared paper)
- Journals
- Human Genetics (2 papers)Human Heredity (2 papers)Transplantation (1 paper)Circulation (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesChileFrance
In The Last Decade
Susan DeCroo
12 papers receiving 440 citations
Peers
Comparison fields: 5 of 70
- Transplantation 31
- Genetics 224
- Immunology 99
- Hematology 39
- Cancer Research 29
Countries citing papers authored by Susan DeCroo
This map shows the geographic impact of Susan DeCroo'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 Susan DeCroo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan DeCroo more than expected).
Fields of papers citing papers by Susan DeCroo
This network shows the impact of papers produced by Susan DeCroo. 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 Susan DeCroo. The network helps show where Susan DeCroo may publish in the future.
Co-authors
The 25 scholars most cited alongside Susan DeCroo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Population genetics of dinucleotide (dC-dA)n.(dG-dT)n polymorphisms in world populations. | 1995 | 136 |
| 2 | 2004 | 82 | |
| 3 | Characteristics of polymorphism at a VNTR locus 3' to the apolipoprotein B gene in five human populations. | 1992 | 70 |
| 4 | 2008 | 49 | |
| 5 | 1994 | 39 | |
| 6 | 1992 | 26 | |
| 7 | 1991 | 20 | |
| 8 | 2009 | 12 | |
| 9 | 2019 | 12 | |
| 10 | 1988 | 8 | |
| 11 | 2008 | 1 | |
| 12 | Alpha-1-antitrypsin (PI) and vitamin-D binding globulin (GC) phenotypes in rheumatoid arthritis: absence of an association. | 1989 | 1 |
About Susan DeCroo
Susan DeCroo is a scholar working on Genetics, Molecular Biology, Immunology, Surgery and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 456 indexed citations. Recurring topics across this work include Forensic and Genetic Research (3 papers), Complement system in diseases (3 papers), Immune Cell Function and Interaction (3 papers), Genetic Associations and Epidemiology (2 papers), Protease and Inhibitor Mechanisms (2 papers), Molecular Biology Techniques and Applications (2 papers), T-cell and B-cell Immunology (2 papers) and Transplantation: Methods and Outcomes (2 papers). The work is most often cited by research in Transplantation (31 citations), Genetics (224 citations), Immunology (99 citations), Hematology (39 citations) and Cancer Research (29 citations). Susan DeCroo has collaborated with scholars based in United States, Chile and France. Frequent co-authors include Ranjan Deka, Robert E. Ferrell, Ranajit Chakraborty, Ling Yu, Jin Li, Francisco Rothhammer, R E Ferrell, Mark D. Shriver, J. Hundrieser and Clareann H. Bunker. Their work appears in journals such as Human Genetics, Human Heredity, Transplantation, Circulation and PLoS ONE.
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.