Omar Nadeem

2.1k citations
79 papers · 468 · h-index 13

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Oncology top 10%
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis

Papers in

    • Multiple Myeloma Research and Treatments 52
    • CAR-T cell therapy research 15
    • Peptidase Inhibition and Analysis 12
    • Cancer Treatment and Pharmacology 10

Omar Nadeem

70 papers receiving 462 citations

Peers

Omar Nadeem
Comparison fields: 5 of 72
  • Hematology 263
  • Oncology 260
  • Genetics 58
  • Molecular Biology 229
  • Family Practice 5
Replace Danai Dima with:
Danai Dima United States
Clifton C. Mo United States
Jagoda Jasielec United States
H. Goldschmidt Germany
Shakira J. Grant United States
Eneida R. Nemecek United States
D Pei United States
Bhavana Bhatnagar United States
Nidale Tarek United States
Luciana Correa Oliveira de Oliveira Brazil
Omar Nadeem relative to Danai Dima United States Danai Dima's profile →
Citations per field
00.5×3.6×
Danai Dima · 1×
Citations per year

Countries citing papers authored by Omar Nadeem

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Omar Nadeem Line = papers co-authored together Omar Nadeem links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201233
2 202132
3 202232
4 202332
5 202227
6 202324
7 202017
8 202317
9 202016
10 202314
11 202113
12 202313
13 202213
14 202112
15 20239
16 20248
17 20248
18 20248
19 20218
20 20208

About Omar Nadeem

Omar Nadeem is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Immunology, having authored 79 papers that have together received 468 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (52 papers), Protein Degradation and Inhibitors (20 papers), CAR-T cell therapy research (15 papers), Peptidase Inhibition and Analysis (12 papers), Cancer Treatment and Pharmacology (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 (263 citations), Oncology (260 citations), Genetics (58 citations), Molecular Biology (229 citations) and Family Practice (5 citations). Omar Nadeem has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Paul G. Richardson, Kenneth C. Anderson, Deborah L. Ornstein, Jiang Gui, Noopur Raje, Jacob P. Laubach, Adam S. Sperling, Elizabeth O’Donnell, Clifton C. Mo and Sherilyn A. Tuazon. Their work appears in journals such as Blood, Journal of Clinical Oncology, Blood Advances, British Journal of Haematology 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.

Explore authors with similar magnitude of impact