Mark Wildgust
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Genetics 10
- Chronic Lymphocytic Leukemia Research 9
-
- Lymphoma Diagnosis and Treatment 5
- Co-authors
- Gerald J. Berry (1 shared paper)Olga Lyass (1 shared paper)Alberto Gabizón (1 shared paper)Hagop M. Kantarjian (2 shared papers)Charles Chuah (2 shared papers)Elias Jabbour (2 shared papers)Juan Luis Steegmann (2 shared papers)Carolina Pavlovsky (2 shared papers)
- Journals
- Blood (5 papers)Journal of Clinical Oncology (4 papers)Nature Medicine (1 paper)Cancer Investigation (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Mark Wildgust
19 papers receiving 585 citations
Peers
Comparison fields: 5 of 48
- Hematology 340
- Genetics 287
- Rheumatology 145
- Pathology and Forensic Medicine 137
- Oncology 144
Countries citing papers authored by Mark Wildgust
This map shows the geographic impact of Mark Wildgust'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 Mark Wildgust with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Wildgust more than expected).
Fields of papers citing papers by Mark Wildgust
This network shows the impact of papers produced by Mark Wildgust. 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 Mark Wildgust. The network helps show where Mark Wildgust may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Wildgust, 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 | 2013 | 302 | |
| 2 | 2017 | 93 | |
| 3 | 2004 | 93 | |
| 4 | 2012 | 27 | |
| 5 | 2023 | 17 | |
| 6 | 2020 | 16 | |
| 7 | 2015 | 8 | |
| 8 | 2025 | 7 | |
| 9 | 2017 | 7 | |
| 10 | 2018 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2019 | 3 | |
| 13 | 2014 | 2 | |
| 14 | Overall survival outcomes in patients with mantle-cell lymphoma (MCL) treated with Ibrutinib in a pooled analysis of 370 patients from 3 international open-label studies | 2016 | 2 |
| 15 | 2004 | 2 | |
| 16 | 2004 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2026 | 0 |
About Mark Wildgust
Mark Wildgust is a scholar working on Genetics, Pathology and Forensic Medicine, Hematology, Pulmonary and Respiratory Medicine and Oncology, having authored 20 papers that have together received 597 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Cancer Treatment and Pharmacology (3 papers), Lung Cancer Treatments and Mutations (3 papers), Cancer Genomics and Diagnostics (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Hematology (340 citations), Genetics (287 citations), Rheumatology (145 citations), Pathology and Forensic Medicine (137 citations) and Oncology (144 citations). Mark Wildgust has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Gerald J. Berry, Olga Lyass, Alberto Gabizón, Hagop M. Kantarjian, Charles Chuah, Elias Jabbour, Juan Luis Steegmann, Carolina Pavlovsky, Andreas Hochhaus and Giuseppe Saglio. Their work appears in journals such as Blood, Journal of Clinical Oncology, Nature Medicine, Cancer Investigation and Frontiers in 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.