Madiha Iqbal
- Oncology top 10%
- Immunology top 10%
- Materials Chemistry
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Co-authors
- Mohamed A. Kharfan‐DabajaHemant S. MurthyJulio C. ChávezAdrian L. SmithVictoria J. PhilbinP. KaiserHai‐Tao HeMichael H. Kogut
- Topics
- Lymphoma Diagnosis and Treatment (30 papers)CAR-T cell therapy research (26 papers)Chronic Lymphocytic Leukemia Research (15 papers)
- Cited by
- ImmunologyGeneticsMicrobiology
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesPakistanSaudi Arabia
In The Last Decade
Madiha Iqbal
102 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 120
- Oncology 255
- Immunology 253
- Materials Chemistry 139
- Pathology and Forensic Medicine 134
- Molecular Biology 127
Countries citing papers authored by Madiha Iqbal
This map shows the geographic impact of Madiha Iqbal'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 Madiha Iqbal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madiha Iqbal more than expected).
Fields of papers citing papers by Madiha Iqbal
This network shows the impact of papers produced by Madiha Iqbal. 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 Madiha Iqbal. The network helps show where Madiha Iqbal may publish in the future.
Co-authorship network of co-authors of Madiha Iqbal
This figure shows the co-authorship network connecting the top 25 collaborators of Madiha Iqbal. A scholar is included among the top collaborators of Madiha Iqbal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Madiha Iqbal. Madiha Iqbal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | Neuropsychiatric Manifestations of Lymphoma-Associated Cerebral Glucose Hypometabolism Can Be Reversed by Intensive Glucose Supplementation | 0 |
| 10 | 0 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 20 | |
| 17 | Cytokine Release Syndrome: Current Perspectives | 1 |
| 18 | 44 | |
| 19 | ASSOCIATION BETWEEN PLACENTAL ABRUPTION AND CAESAREAN SECTION AMONG PATIENTS AT KHYBER TEACHING HOSPITAL PESHAWAR. | 5 |
| 20 | 2 |
About Madiha Iqbal
Madiha Iqbal is a scholar working on Genetics, Pathology and Forensic Medicine and Oncology, having authored 131 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (30 papers), CAR-T cell therapy research (26 papers) and Chronic Lymphocytic Leukemia Research (15 papers). The work is most often cited by research in Immunology (253 citations), Genetics (110 citations) and Microbiology (58 citations). Madiha Iqbal has collaborated with scholars based in United States, Pakistan and Saudi Arabia. Frequent co-authors include Mohamed A. Kharfan‐Dabaja, Hemant S. Murthy, Julio C. Chávez, Adrian L. Smith, Victoria J. Philbin, P. Kaiser, Hai‐Tao He, Michael H. Kogut, Abdullah Abdullah and Shah Faisal. 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.