Max M. Wolf
Impact in
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 29
- Genetics 18
- Chronic Lymphocytic Leukemia Research 15
- Co-authors
- John Francis Seymour (33 shared papers)Henry Miles Prince (30 shared papers)Eva K. Kimby (6 shared papers)Anton Hagenbeek (6 shared papers)Richard John Klasa (6 shared papers)Marinus H. J. van Oers (6 shared papers)Martine Van Glabbeke (6 shared papers)Robert E Marcus (6 shared papers)
- Journals
- Blood (13 papers)Cancer (5 papers)Journal of Clinical Oncology (3 papers)British Journal of Haematology (3 papers)The Medical Journal of Australia (2 papers)
- Partner nations
- AustraliaUnited KingdomNetherlands
In The Last Decade
Max M. Wolf
58 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 83
- Pathology and Forensic Medicine 1.8k
- Genetics 757
- Oncology 920
- Neurology 435
- Hematology 226
Countries citing papers authored by Max M. Wolf
This map shows the geographic impact of Max M. Wolf'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 Max M. Wolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max M. Wolf more than expected).
Fields of papers citing papers by Max M. Wolf
This network shows the impact of papers produced by Max M. Wolf. 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 Max M. Wolf. The network helps show where Max M. Wolf may publish in the future.
Co-authors
The 25 scholars most cited alongside Max M. Wolf, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 485 | |
| 2 | 2010 | 253 | |
| 3 | 2008 | 181 | |
| 4 | 2008 | 173 | |
| 5 | 2002 | 138 | |
| 6 | 2006 | 102 | |
| 7 | 2006 | 92 | |
| 8 | 2016 | 91 | |
| 9 | 2006 | 79 | |
| 10 | 2001 | 67 | |
| 11 | 2013 | 56 | |
| 12 | 2010 | 46 | |
| 13 | 2009 | 46 | |
| 14 | 2008 | 39 | |
| 15 | 2011 | 37 | |
| 16 | 2004 | 36 | |
| 17 | 2005 | 34 | |
| 18 | 1997 | 29 | |
| 19 | 2004 | 26 | |
| 20 | 2004 | 25 |
About Max M. Wolf
Max M. Wolf is a scholar working on Pathology and Forensic Medicine, Genetics, Hematology, Oncology and Neurology, having authored 59 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (29 papers), Chronic Lymphocytic Leukemia Research (15 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), Viral-associated cancers and disorders (9 papers), Acute Lymphoblastic Leukemia research (7 papers), Multiple Myeloma Research and Treatments (6 papers), Protein Degradation and Inhibitors (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.8k citations), Genetics (757 citations), Oncology (920 citations), Neurology (435 citations) and Hematology (226 citations). Max M. Wolf has collaborated with scholars based in Australia, United Kingdom and Netherlands. Frequent co-authors include John Francis Seymour, Henry Miles Prince, Eva K. Kimby, Anton Hagenbeek, Richard John Klasa, Marinus H. J. van Oers, Martine Van Glabbeke, Robert E Marcus, Harald Holte and Andrej Vranovský. Their work appears in journals such as Blood, Cancer, Journal of Clinical Oncology, British Journal of Haematology and The Medical Journal of Australia.
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.