Sameena Iqbal

6.9k total citations
65 papers, 2.0k citations indexed

About

Sameena Iqbal is a scholar working on Nephrology, Pathology and Forensic Medicine and Genetics. According to data from OpenAlex, Sameena Iqbal has authored 65 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Nephrology, 17 papers in Pathology and Forensic Medicine and 15 papers in Genetics. Recurrent topics in Sameena Iqbal's work include Lymphoma Diagnosis and Treatment (17 papers), Chronic Lymphocytic Leukemia Research (13 papers) and Dialysis and Renal Disease Management (11 papers). Sameena Iqbal is often cited by papers focused on Lymphoma Diagnosis and Treatment (17 papers), Chronic Lymphocytic Leukemia Research (13 papers) and Dialysis and Renal Disease Management (11 papers). Sameena Iqbal collaborates with scholars based in United Kingdom, Canada and United States. Sameena Iqbal's co-authors include John G. Gribben, Elham Rahme, Jeffrey K. Davies, Alan G. Ramsay, John C. Riches, Samir Agrawal, Rewas Fatah, Fabienne McClanahan, Janet Matthews and Andrew Clear and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Sameena Iqbal

61 papers receiving 2.0k citations

Peers

Sameena Iqbal
Comparison fields: 5 of 100
  • Genetics 629
  • Pathology and Forensic Medicine 618
  • Oncology 572
  • Immunology 492
  • Molecular Biology 337
Replace David Sutton with:
David Sutton Canada
Dolors Tàssies Spain
Erhard Hiller Germany
Graeme Fraser Canada
Roberto Castelli Italy
C.J. Haagsma Netherlands
Yeung‐Chul Mun South Korea
P. W. Wijermans Netherlands
Evarist Feliú Spain
Xinping Tian China
David Sutton Canada View profile →
Citations per field, relative to Sameena Iqbal
Sameena Iqbal · 1×
Citations per year, relative to Sameena Iqbal
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Countries citing papers authored by Sameena Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Sameena Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sameena Iqbal

This figure shows the co-authorship network connecting the top 25 collaborators of Sameena Iqbal. A scholar is included among the top collaborators of Sameena 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 Sameena Iqbal. Sameena 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 4
3 9
4 3
5 34
6 26
7 33
8 79
9 17
10 4
11 41
12 64
13 5
14 13
15 107
16 1
17 39
18 50
19 15
20 22

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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