William Klitz
- Immunology top 1%
- T-cell and B-cell Immunology 36
- Immune Cell Function and Interaction 23
- Immunotherapy and Immune Responses 6
- Transplantation top 2%
- Hematology top 1%
- Blood groups and transfusion 9
- Genetics top 0.5%
- Diabetes and associated disorders 18
- Genetic Associations and Epidemiology 11
- Hemoglobinopathies and Related Disorders 7
-
- Viral Infections and Immunology Research 7
- Co-authors
- Martin MaiersG. ThomsonLoren GragertTeodorica L. BugawanJanelle A. NobleMary CarringtonAna M. ValdesMark Cook
- Cited by
- ImmunologyTransplantationHematology
- Partner nations
- United StatesSwedenItaly
In The Last Decade
William Klitz
93 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 129
- Immunology 2.3k
- Transplantation 193
- Hematology 793
- Genetics 1.8k
- Endocrinology, Diabetes and Metabolism 506
Countries citing papers authored by William Klitz
This map shows the geographic impact of William Klitz'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 William Klitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Klitz more than expected).
Fields of papers citing papers by William Klitz
This network shows the impact of papers produced by William Klitz. 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 William Klitz. The network helps show where William Klitz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William Klitz, 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 | 2020 | 5 | |
| 2 | 2016 | 6 | |
| 3 | 2012 | 50 | |
| 4 | 2009 | 21 | |
| 5 | 2008 | 10 | |
| 6 | 2007 | 39 | |
| 7 | 2005 | 37 | |
| 8 | 2003 | 143 | |
| 9 | 2002 | 174 | |
| 10 | 2002 | 57 | |
| 11 | 2002 | 17 | |
| 12 | 2001 | 20 | |
| 13 | 2001 | 64 | |
| 14 | 1999 | 189 | |
| 15 | Characterization of recombination in the HLA class II region. | 1997 | 120 |
| 16 | 1997 | 14 | |
| 17 | 1997 | 60 | |
| 18 | Hla class-II evolution in nthe Cayapa indians of Ecuador | 1993 | 1 |
| 19 | 1991 | 24 | |
| 20 | 1990 | 14 |
About William Klitz
William Klitz is a scholar working on Immunology, Hematology, Genetics, Transplantation and Genetics, having authored 93 papers that have together received 5.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (36 papers), Immune Cell Function and Interaction (23 papers), Diabetes and associated disorders (18 papers), Genetic Associations and Epidemiology (11 papers), Blood groups and transfusion (9 papers), Viral Infections and Immunology Research (7 papers), Hemoglobinopathies and Related Disorders (7 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Immunology (2.3k citations), Transplantation (193 citations), Hematology (793 citations), Genetics (1.8k citations) and Endocrinology, Diabetes and Metabolism (506 citations). William Klitz has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Martin Maiers, G. Thomson, Loren Gragert, Teodorica L. Bugawan, Janelle A. Noble, Mary Carrington, Ana M. Valdes, Mark Cook, Glenys Thomson and N Fildes. Their work appears in journals such as Human Immunology, Genetics, Blood, Genetic Epidemiology and The American Journal of Human Genetics.
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.