Jamila Ibrahim

684 citations
11 papers · 189 · h-index 9

Impact in

Papers in

Jamila Ibrahim

11 papers receiving 185 citations

Peers

Jamila Ibrahim
Comparison fields: 5 of 55
  • Cardiology and Cardiovascular Medicine 39
  • Physiology 41
  • Neurology 9
  • Endocrinology, Diabetes and Metabolism 17
  • Biochemistry 8
Replace C. G. Agarwal with:
C. G. Agarwal India
Jing Shen China
Aruna Natarajan United States
Kayoko Segawa Japan
Jenifer Sanchez United Kingdom
Pan Liu China
L Lorente Spain
Katalin Müllner Hungary
Huixin Chen China
Jamila Ibrahim relative to C. G. Agarwal India C. G. Agarwal's profile →
Citations per field
00.5×1.5×
C. G. Agarwal · 1×
Citations per year

Countries citing papers authored by Jamila Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Jamila Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Jamila Ibrahim, 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 Jamila Ibrahim Line = papers co-authored together Jamila Ibrahim links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 200645
2 200341
3 200529
4 202014
5
Gonadotropin and inhibin concentrations in early pregnancy in women with and without corpora lutea.
199214
6 200011
7 199610
8 200810
9 19959
10 19993
11 19963

About Jamila Ibrahim

Jamila Ibrahim is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Biochemistry, Pharmacology and Genetics, having authored 11 papers that have together received 189 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (3 papers), Renin-Angiotensin System Studies (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Blood Pressure and Hypertension Studies (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Cardiovascular Health and Disease Prevention (1 paper), Melamine detection and toxicity (1 paper) and Ovarian function and disorders (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (39 citations), Physiology (41 citations), Neurology (9 citations), Endocrinology, Diabetes and Metabolism (17 citations) and Biochemistry (8 citations). Jamila Ibrahim has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Bradford C. Berk, Alun D. Hughes, Jody K. Miyashiro, J.C. McGrath, Anna F. Dominiczak, Delyth Graham, Peter S. Sever, Nanette Santoro, Michael Schächter and Alan L. Schneyer. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Clinical and Experimental Hypertension, Hypertension, American Journal of Physiology-Heart and Circulatory Physiology and Circulation 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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