Inga Hofmann
- Hematology top 5%
- Acute Myeloid Leukemia Research 17
- Hematopoietic Stem Cell Transplantation 6
- Genetics top 10%
- Blood disorders and treatments 9
- Hemoglobinopathies and Related Disorders 4
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
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- Immunodeficiency and Autoimmune Disorders 5
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- Epigenetics and DNA Methylation 3
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- Ovarian cancer diagnosis and treatment 3
- Co-authors
- Joachim DrevsFelix KratzClemens UngerSuneet AgarwalDavid A. WilliamsBariş BoyrazPatrick CahanEva C. Guinan
- Cited by
- HematologyGeneticsImmunology
- Journals
- Blood (6 papers)Pediatric Blood & Cancer (3 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesGermanyTürkiye
In The Last Decade
Inga Hofmann
29 papers receiving 889 citations
Peers
Comparison fields: 5 of 75
- Hematology 294
- Genetics 103
- Immunology 164
- Molecular Biology 482
- Physiology 179
Countries citing papers authored by Inga Hofmann
This map shows the geographic impact of Inga Hofmann'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 Inga Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inga Hofmann more than expected).
Fields of papers citing papers by Inga Hofmann
This network shows the impact of papers produced by Inga Hofmann. 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 Inga Hofmann. The network helps show where Inga Hofmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Inga Hofmann, 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 | 2022 | 4 | |
| 2 | 2020 | 9 | |
| 3 | 2020 | 21 | |
| 4 | 2020 | 23 | |
| 5 | 2020 | 20 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 42 | |
| 8 | 2018 | 1 | |
| 9 | 2016 | 1 | |
| 10 | 2015 | 24 | |
| 11 | 2015 | 1 | |
| 12 | 2015 | 130 | |
| 13 | 2014 | 74 | |
| 14 | 2013 | 3 | |
| 15 | 2012 | 92 | |
| 16 | 2009 | 129 | |
| 17 | 2008 | 82 | |
| 18 | 1999 | 12 | |
| 19 | 1994 | 6 | |
| 20 | 1987 | 5 |
About Inga Hofmann
Inga Hofmann is a scholar working on Hematology, Genetics, Reproductive Medicine, Immunology and Genetics, having authored 31 papers that have together received 914 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Blood disorders and treatments (9 papers), Hematopoietic Stem Cell Transplantation (6 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Hemoglobinopathies and Related Disorders (4 papers), Epigenetics and DNA Methylation (3 papers), Ovarian cancer diagnosis and treatment (3 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Hematology (294 citations), Genetics (103 citations), Immunology (164 citations), Molecular Biology (482 citations) and Physiology (179 citations). Inga Hofmann has collaborated with scholars based in United States, Germany and Türkiye. Frequent co-authors include Joachim Drevs, Felix Kratz, Clemens Unger, Suneet Agarwal, David A. Williams, Bariş Boyraz, Patrick Cahan, Eva C. Guinan, Albert Tai and Barbara Degar. Their work appears in journals such as Blood, Pediatric Blood & Cancer, Journal of Clinical Investigation, Biology of Blood and Marrow Transplantation and Nature 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.