Umair Munawar
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
-
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
Papers in
- Hematology 22
- Multiple Myeloma Research and Treatments 22
- Oncology 9
- Peptidase Inhibition and Analysis 4
- CAR-T cell therapy research 2
- Co-authors
- Klaus Martin Kortüm (6 shared papers)Santiago Barrio (3 shared papers)Antonio Giovanni Solimando (1 shared paper)Ralf Christian Bargou (3 shared papers)Constantin Lapa (2 shared papers)Markus Roth (2 shared papers)Harald Wajant (1 shared paper)Andoni Garitano-Trojaola (2 shared papers)
- Journals
- Blood (7 papers)Haematologica (4 papers)HemaSphere (4 papers)Leukemia (2 papers)Clinical Epigenetics (1 paper)
- Partner nations
- GermanySpainUnited States
In The Last Decade
Umair Munawar
26 papers receiving 271 citations
Peers
Comparison fields: 5 of 40
- Hematology 154
- Oncology 77
- Molecular Biology 180
- Cancer Research 26
- Pathology and Forensic Medicine 20
Countries citing papers authored by Umair Munawar
This map shows the geographic impact of Umair Munawar'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 Umair Munawar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umair Munawar more than expected).
Fields of papers citing papers by Umair Munawar
This network shows the impact of papers produced by Umair Munawar. 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 Umair Munawar. The network helps show where Umair Munawar may publish in the future.
Co-authors
The 25 scholars most cited alongside Umair Munawar, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 52 | |
| 2 | 2019 | 44 | |
| 3 | 2021 | 39 | |
| 4 | 2023 | 39 | |
| 5 | 2019 | 23 | |
| 6 | 2022 | 13 | |
| 7 | 2019 | 9 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2021 | 6 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2022 | 1 |
About Umair Munawar
Umair Munawar is a scholar working on Hematology, Oncology, Genetics, Molecular Biology and Immunology, having authored 30 papers that have together received 276 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (22 papers), Protein Degradation and Inhibitors (10 papers), Ubiquitin and proteasome pathways (5 papers), Peptidase Inhibition and Analysis (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cancer Genomics and Diagnostics (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (154 citations), Oncology (77 citations), Molecular Biology (180 citations), Cancer Research (26 citations) and Pathology and Forensic Medicine (20 citations). Umair Munawar has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Klaus Martin Kortüm, Santiago Barrio, Antonio Giovanni Solimando, Ralf Christian Bargou, Constantin Lapa, Markus Roth, Harald Wajant, Andoni Garitano-Trojaola, Hermann Einsele and Susanne Strifler. Their work appears in journals such as Blood, Haematologica, HemaSphere, Leukemia and Clinical Epigenetics.
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.