Andrew Belch
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Erythropoietin and Anemia Treatment
- Iron Metabolism and Disorders
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 22
- Multiple Myeloma Research and Treatments 21
- Genetics 9
- Chronic Lymphocytic Leukemia Research 8
- Co-authors
- Jesús F. San MiguelNizar J. BahlisSagar LonialSaad Z. UsmaniBrendan M. WeissPeter M. VoorheesClarissa UhlarTahamtan Ahmadi
- Journals
- Blood (12 papers)Journal of Clinical Oncology (5 papers)European Journal Of Haematology (2 papers)Nuclear Medicine Communications (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- United StatesCanadaGreece
In The Last Decade
Andrew Belch
31 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Hematology 839
- Genetics 239
- Oncology 535
- Biochemistry 75
- Otorhinolaryngology 40
Countries citing papers authored by Andrew Belch
This map shows the geographic impact of Andrew Belch'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 Andrew Belch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Belch more than expected).
Fields of papers citing papers by Andrew Belch
This network shows the impact of papers produced by Andrew Belch. 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 Andrew Belch. The network helps show where Andrew Belch may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew Belch, 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 | 2024 | 0 | |
| 2 | 2020 | 74 | |
| 3 | 2018 | 24 | |
| 4 | 2017 | 8 | |
| 5 | 2017 | 1 | |
| 6 | Clinical efficacy of daratumumab monotherapy in patients with heavily pretreated relapsed or refractory multiple myeloma Hit paper breakdown → | 2016 | 303 |
| 7 | 2015 | 28 | |
| 8 | 2015 | 5 | |
| 9 | 2012 | 6 | |
| 10 | 2012 | 26 | |
| 11 | 2012 | 9 | |
| 12 | 2011 | 5 | |
| 13 | 2009 | 13 | |
| 14 | 2009 | 82 | |
| 15 | 2009 | 19 | |
| 16 | 2008 | 5 | |
| 17 | 2005 | 5 | |
| 18 | 2003 | 267 | |
| 19 | 1992 | 14 | |
| 20 | 1992 | 3 |
About Andrew Belch
Andrew Belch is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Molecular Biology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (21 papers), Protein Degradation and Inhibitors (11 papers), Chronic Lymphocytic Leukemia Research (8 papers), Peptidase Inhibition and Analysis (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Cancer Treatment and Pharmacology (4 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Hematology (839 citations), Genetics (239 citations), Oncology (535 citations), Biochemistry (75 citations) and Otorhinolaryngology (40 citations). Andrew Belch has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Jesús F. San Miguel, Nizar J. Bahlis, Sagar Lonial, Saad Z. Usmani, Brendan M. Weiss, Peter M. Voorhees, Clarissa Uhlar, Tahamtan Ahmadi, Huaibao Feng and Paul G. Richardson. Their work appears in journals such as Blood, Journal of Clinical Oncology, European Journal Of Haematology, Nuclear Medicine Communications and British Journal of Haematology.
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.