N Iqbal

22 papers receiving 427 citations

Peers

N Iqbal
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 216
  • Endocrine and Autonomic Systems 47
  • Physiology 147
  • Surgery 143
  • Epidemiology 99
Replace Enrique Romero with:
Enrique Romero Spain
Diego Fernández‐García Spain
Jefferson P. Lomenick United States
Mira S. Zantout Lebanon
Hannes Manell Sweden
Deborah K. Oh United States
Päivi Kekäläinen Finland
Anne-Cécile Huby United States
Jolanta Patro-Małysza Poland
Justyna Kuliczkowska-Płaksej Poland
N Iqbal relative to Enrique Romero Spain Enrique Romero's profile →
Citations per field
00.5×1.5×1.9×
Enrique Romero · 1×
Citations per year

Countries citing papers authored by N Iqbal

Since Specialization
Citations

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

Fields of papers citing papers by N Iqbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998108
2
Serum resistin is not associated with obesity or insulin resistance in humans.
200568
3 201653
4
The effects of a low-carbohydrate versus low-fat diet on adipocytokines in severely obese adults: three-year follow-up of a randomized trial.
200650
5 201546
6 201633
7 200017
8 201416
9 200214
10 20199
11 20058
12 20237
13
Assessment of iodine deficiency in school going children in Abbottabad - Pakistan
19992
14 20212
15 20241
16 20231
17 20171
18
Association of physical activity and sedentary lifestyle with overweight and obesity among adult women in Sri Lanka.
20131
19 20241
20 20241

About N Iqbal

N Iqbal is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Oncology and Epidemiology, having authored 23 papers that have together received 441 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (4 papers), Adipose Tissue and Metabolism (3 papers), Diabetes Treatment and Management (3 papers), Colorectal Cancer Screening and Detection (3 papers), Global Cancer Incidence and Screening (3 papers), Pancreatic function and diabetes (2 papers), Economic and Financial Impacts of Cancer (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (216 citations), Endocrine and Autonomic Systems (47 citations), Physiology (147 citations), Surgery (143 citations) and Epidemiology (99 citations). N Iqbal has collaborated with scholars based in United States, Pakistan and Poland. Frequent co-authors include G. Boden, Xiaohong Chen, Prakash Seshadri, Serena Cardillo, Lars Hansen, Eva Johnsson, Linda Stern, Tabrez Jafar, Boaz Hirshberg and Raffaella Buzzetti. Their work appears in journals such as Annals of Oncology, Diabetes Obesity and Metabolism, Diabetes, Diabetes/Metabolism Research and Reviews and BMC Health Services Research.

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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