Mahmoud Hashim
- Hematology top 5%
- Multiple Myeloma Research and Treatments 13
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- Protein Degradation and Inhibitors 6
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials 8
- Advanced Causal Inference Techniques 3
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- Health Systems, Economic Evaluations, Quality of Life 9
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- Cancer Genomics and Diagnostics 5
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- Cancer Mechanisms and Therapy 4
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- Lung Cancer Treatments and Mutations 4
- Co-authors
- Bart HeegAnnette LamJianming HeMargarita KulakovaMeletios Α. DimopoulosKenneth C. AndersonNikhil C. MunshiBruno Paiva
- Cited by
- HematologyOncologyMolecular Biology
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (2 papers)Blood (4 papers)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Mahmoud Hashim
34 papers receiving 436 citations
Peers
Comparison fields: 5 of 56
- Hematology 273
- Oncology 195
- Molecular Biology 247
- Statistics and Probability 28
- Genetics 30
Countries citing papers authored by Mahmoud Hashim
This map shows the geographic impact of Mahmoud Hashim'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 Mahmoud Hashim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahmoud Hashim more than expected).
Fields of papers citing papers by Mahmoud Hashim
This network shows the impact of papers produced by Mahmoud Hashim. 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 Mahmoud Hashim. The network helps show where Mahmoud Hashim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mahmoud Hashim, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 3 | |
| 11 | 2019 | 22 | |
| 12 | 2019 | 3 | |
| 13 | 2018 | 1 | |
| 14 | 2018 | 4 | |
| 15 | 2018 | 1 | |
| 16 | 2018 | 6 | |
| 17 | 2018 | 4 | |
| 18 | 2017 | 8 | |
| 19 | 2017 | 21 | |
| 20 | 2017 | 1 |
About Mahmoud Hashim
Mahmoud Hashim is a scholar working on Hematology, Statistics and Probability and Hepatology, having authored 38 papers that have together received 444 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (13 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Statistical Methods in Clinical Trials (8 papers), Protein Degradation and Inhibitors (6 papers), Cancer Genomics and Diagnostics (5 papers), Cancer Mechanisms and Therapy (4 papers), Lung Cancer Treatments and Mutations (4 papers) and Advanced Causal Inference Techniques (3 papers). The work is most often cited by research in Hematology (273 citations), Oncology (195 citations) and Molecular Biology (247 citations). Mahmoud Hashim has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Bart Heeg, Annette Lam, Jianming He, Margarita Kulakova, Meletios Α. Dimopoulos, Kenneth C. Anderson, Nikhil C. Munshi, Bruno Paiva, Nizar J. Bahlis and Hervé Avet‐Loiseau. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.