Raja Mudad

583 citations
35 papers · 435 · h-index 15

Impact in

  • Hematology top 10%
    • Hemophilia Treatment and Research
    • Platelet Disorders and Treatments
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Lung Cancer Research Studies 10
    • Cancer Immunotherapy and Biomarkers 10
    • Inflammatory Biomarkers in Disease Prognosis 3
    • CAR-T cell therapy research 3
    • Lung Cancer Treatments and Mutations 13

Raja Mudad

35 papers receiving 420 citations

Peers

Raja Mudad
Comparison fields: 5 of 68
  • Hematology 107
  • Oncology 174
  • Genetics 45
  • Pulmonary and Respiratory Medicine 133
  • Immunology 79
Replace Donna Dunn with:
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Raja Mudad relative to Donna Dunn United States Donna Dunn's profile →
Citations per field
00.5×2.9×
Donna Dunn · 1×
Citations per year

Countries citing papers authored by Raja Mudad

Since Specialization
Citations

This map shows the geographic impact of Raja Mudad'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 Raja Mudad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raja Mudad more than expected).

Fields of papers citing papers by Raja Mudad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raja Mudad. 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 Raja Mudad. The network helps show where Raja Mudad may publish in the future.

Co-authors

The 25 scholars most cited alongside Raja Mudad, 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 Raja Mudad Line = papers co-authored together Raja Mudad links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199360
2 201745
3 201729
4 200323
5 199522
6 201821
7 201721
8 199520
9 201920
10 200319
11 201918
12 199616
13 201816
14 199515
15 200215
16 201814
17 201711
18 20188
19 20075
20
20035

About Raja Mudad

Raja Mudad is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Hematology and Immunology, having authored 35 papers that have together received 435 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (13 papers), Lung Cancer Research Studies (10 papers), Cancer Immunotherapy and Biomarkers (10 papers), Immunotherapy and Immune Responses (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Blood groups and transfusion (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Hematology (107 citations), Oncology (174 citations), Genetics (45 citations), Pulmonary and Respiratory Medicine (133 citations) and Immunology (79 citations). Raja Mudad has collaborated with scholars based in United States, France and Japan. Frequent co-authors include William H. Kane, Wungki Park, Marilyn J. Telen, William P. Peters, Atif Hussein, N A Rao, Chukwuemeka Ikpeazu, Gilberto Lopes, Arnold Alper and Young Kwang Chae. Their work appears in journals such as Journal of Clinical Oncology, Journal of Thoracic Oncology, Transfusion, The Oncologist and Lung Cancer.

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.

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