Omar Nadeem
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- CAR-T cell therapy research
- Peptidase Inhibition and Analysis
Papers in
- Hematology 54
- Multiple Myeloma Research and Treatments 52
- Oncology 40
- CAR-T cell therapy research 14
- Cancer Treatment and Pharmacology 11
- Peptidase Inhibition and Analysis 10
- Co-authors
- Paul G. Richardson (32 shared papers)Kenneth C. Anderson (13 shared papers)Jacob P. Laubach (29 shared papers)Clifton C. Mo (24 shared papers)Jiang Gui (1 shared paper)Deborah L. Ornstein (1 shared paper)Adam S. Sperling (20 shared papers)Noopur Raje (18 shared papers)
- Journals
- Blood (29 papers)Journal of Clinical Oncology (9 papers)Blood Advances (4 papers)Expert Opinion on Drug Safety (2 papers)Cancers (2 papers)
- Partner nations
- United StatesSpainFrance
In The Last Decade
Omar Nadeem
72 papers receiving 498 citations
Peers
Comparison fields: 5 of 69
- Hematology 265
- Oncology 230
- Genetics 44
- Molecular Biology 201
- Radiology, Nuclear Medicine and Imaging 46
Countries citing papers authored by Omar Nadeem
This map shows the geographic impact of Omar Nadeem'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 Omar Nadeem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Omar Nadeem more than expected).
Fields of papers citing papers by Omar Nadeem
This network shows the impact of papers produced by Omar Nadeem. 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 Omar Nadeem. The network helps show where Omar Nadeem may publish in the future.
Co-authors
The 25 scholars most cited alongside Omar Nadeem, 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 34 | |
| 2 | 2012 | 34 | |
| 3 | 2021 | 33 | |
| 4 | 2022 | 32 | |
| 5 | 2022 | 29 | |
| 6 | 2023 | 26 | |
| 7 | 2023 | 19 | |
| 8 | 2020 | 18 | |
| 9 | 2020 | 17 | |
| 10 | 2023 | 17 | |
| 11 | 2022 | 15 | |
| 12 | 2023 | 14 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2024 | 10 | |
| 16 | 2024 | 10 | |
| 17 | 2024 | 9 | |
| 18 | 2023 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2020 | 8 |
About Omar Nadeem
Omar Nadeem is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Immunology, having authored 81 papers that have together received 503 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (52 papers), Protein Degradation and Inhibitors (18 papers), CAR-T cell therapy research (14 papers), Cancer Treatment and Pharmacology (11 papers), Peptidase Inhibition and Analysis (10 papers), Chronic Lymphocytic Leukemia Research (10 papers), Monoclonal and Polyclonal Antibodies Research (6 papers) and Cancer Mechanisms and Therapy (4 papers). The work is most often cited by research in Hematology (265 citations), Oncology (230 citations), Genetics (44 citations), Molecular Biology (201 citations) and Radiology, Nuclear Medicine and Imaging (46 citations). Omar Nadeem has collaborated with scholars based in United States, Spain and France. Frequent co-authors include Paul G. Richardson, Kenneth C. Anderson, Jacob P. Laubach, Clifton C. Mo, Jiang Gui, Deborah L. Ornstein, Adam S. Sperling, Noopur Raje, Elizabeth O’Donnell and Leona Holmberg. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, Expert Opinion on Drug Safety and Cancers.
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.