Matthew Hoffmann
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Multiple Myeloma Research and Treatments 5
- Hemophilia Treatment and Research 2
- Co-authors
- Gondi Kumar (9 shared papers)Sekhar Surapaneni (10 shared papers)Claudia Kasserra (3 shared papers)Peter Schäfer (2 shared papers)Lori Capone (2 shared papers)William DeMaio (2 shared papers)John Speth (1 shared paper)JoAnn Scatina (1 shared paper)
- Journals
- Xenobiotica (6 papers)Drug Metabolism and Disposition (2 papers)Blood (2 papers)American Journal of Obstetrics and Gynecology (2 papers)Radiotherapy and Oncology (2 papers)
- Partner nations
- SwitzerlandUnited StatesAustralia
In The Last Decade
Matthew Hoffmann
38 papers receiving 520 citations
Peers
Comparison fields: 5 of 88
- Hematology 150
- Molecular Medicine 43
- Pharmacology 41
- Pharmacology 65
- Oncology 98
Countries citing papers authored by Matthew Hoffmann
This map shows the geographic impact of Matthew Hoffmann'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 Matthew Hoffmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Hoffmann more than expected).
Fields of papers citing papers by Matthew Hoffmann
This network shows the impact of papers produced by Matthew Hoffmann. 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 Matthew Hoffmann. The network helps show where Matthew Hoffmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Hoffmann, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 102 | |
| 2 | 2007 | 82 | |
| 3 | 2011 | 44 | |
| 4 | 2014 | 33 | |
| 5 | 2009 | 27 | |
| 6 | 2002 | 24 | |
| 7 | 2005 | 21 | |
| 8 | 2018 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2014 | 14 | |
| 11 | 2008 | 13 | |
| 12 | 2018 | 13 | |
| 13 | 2013 | 12 | |
| 14 | 2016 | 12 | |
| 15 | 2018 | 12 | |
| 16 | 2014 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2016 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2021 | 7 |
About Matthew Hoffmann
Matthew Hoffmann is a scholar working on Molecular Biology, Hematology, Oncology, Pediatrics, Perinatology and Child Health and Radiation, having authored 39 papers that have together received 549 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Advanced Radiotherapy Techniques (5 papers), Drug Transport and Resistance Mechanisms (4 papers), Maternal and Perinatal Health Interventions (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Maternal and fetal healthcare (3 papers), Hemophilia Treatment and Research (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Hematology (150 citations), Molecular Medicine (43 citations), Pharmacology (41 citations), Pharmacology (65 citations) and Oncology (98 citations). Matthew Hoffmann has collaborated with scholars based in Switzerland, United States and Australia. Frequent co-authors include Gondi Kumar, Sekhar Surapaneni, Claudia Kasserra, Peter Schäfer, Lori Capone, William DeMaio, John Speth, JoAnn Scatina, Dawn Harper and Rasmy Talaat. Their work appears in journals such as Xenobiotica, Drug Metabolism and Disposition, Blood, American Journal of Obstetrics and Gynecology and Radiotherapy and Oncology.
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.