Imran Iqbal

37 papers receiving 991 citations

Peers

Imran Iqbal
Comparison fields: 5 of 147
  • Health Informatics 10
  • Building and Construction 92
  • Oncology 151
  • Rheumatology 76
  • Computer Vision and Pattern Recognition 113
Replace Zhe Zhang with:
Zhe Zhang China
Rui Liao China
Panpan Yang China
Woo Seok Kim South Korea
Tony Kam‐Thong Switzerland
Zhiguo Wang China
Simin Chen China
Teng Zhang China
Xu Cao China
Jiaqi Chen China
Imran Iqbal relative to Zhe Zhang China Zhe Zhang's profile →
Citations per field
00.5×4.4×
Zhe Zhang · 1×
Citations per year

Countries citing papers authored by Imran Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by Imran Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020206
2 200698
3 200476
4 200271
5 202070
6 202067
7 202057
8 200443
9 202241
10
Bacteriological agents of neonatal sepsis in NICU at Nishtar Hospital Multan.
200640
11 202139
12 202134
13 202429
14 201818
15 202316
16 202416
17 202116
18 202412
19 202011
20 202411

About Imran Iqbal

Imran Iqbal is a scholar working on Rheumatology, Hematology, Molecular Biology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (5 papers), Autoimmune and Inflammatory Disorders Research (5 papers), Building Energy and Comfort Optimization (3 papers), Climate variability and models (3 papers), Fluid Dynamics Simulations and Interactions (2 papers), Precipitation Measurement and Analysis (2 papers), Advanced Neural Network Applications (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Health Informatics (10 citations), Building and Construction (92 citations), Oncology (151 citations), Rheumatology (76 citations) and Computer Vision and Pattern Recognition (113 citations). Imran Iqbal has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Mohib Ullah Kakar, Jinwen Ma, Roy Fleischmann, Khuram Walayat, Mohammad S. Al‐Homoud, Muhammad Younus, Richard Stern, Jinwen Ma, Jianxiang Wang and Li Liu. Their work appears in journals such as Computational Particle Mechanics, Scientific Reports, Engineering Applications of Artificial Intelligence, Expert Opinion on Drug Safety and Annals of Clinical Biochemistry International Journal of Laboratory Medicine.

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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