Madiha Iqbal

4.1k total citations
131 papers, 1.1k citations indexed

About

Madiha Iqbal is a scholar working on Oncology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Madiha Iqbal has authored 131 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Oncology, 34 papers in Pathology and Forensic Medicine and 22 papers in Genetics. Recurrent topics in Madiha Iqbal's work include Lymphoma Diagnosis and Treatment (30 papers), CAR-T cell therapy research (26 papers) and Chronic Lymphocytic Leukemia Research (15 papers). Madiha Iqbal is often cited by papers focused on Lymphoma Diagnosis and Treatment (30 papers), CAR-T cell therapy research (26 papers) and Chronic Lymphocytic Leukemia Research (15 papers). Madiha Iqbal collaborates with scholars based in United States, Pakistan and Saudi Arabia. Madiha Iqbal's 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 and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Madiha Iqbal

102 papers receiving 1.0k citations

Peers

Madiha Iqbal
Comparison fields: 5 of 120
  • Oncology 255
  • Immunology 253
  • Materials Chemistry 139
  • Pathology and Forensic Medicine 134
  • Molecular Biology 127
Replace Rani Faryal with:
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Mahboobeh Zarrabi Iran
Paola Melotti Italy
Oliver Brandt Switzerland
Hee Joo Kim South Korea
Sushil Kumar India
Hsuan-Shun Huang Taiwan
Amir Dagan Israel
Wei Tan China
Rani Faryal Pakistan View profile →
Citations per field, relative to Madiha Iqbal
Madiha Iqbal · 1×
Citations per year, relative to Madiha Iqbal
Madiha Iqbal · 1×

Countries citing papers authored by Madiha Iqbal

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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