K.A. Gumaa

2.4k citations
80 papers · 2.0k indexed · h-index 23

Impact in

Papers in

K.A. Gumaa

77 papers receiving 1.8k citations

Peers

K.A. Gumaa
Comparison fields: 5 of 129
  • Obstetrics and Gynecology 294
  • Clinical Biochemistry 196
  • Endocrinology, Diabetes and Metabolism 411
  • Physiology 530
  • Biochemistry 146
Replace Seval Aydın with:
Seval Aydın Türkiye
Garry X. Shen Canada
Sheldon J. Bleicher United States
Michel Narce France
Shu‐Huei Kao Taiwan
Blaise C. Martin United States
Tülay Akçay Türkiye
Michelle Arlotto United States
Lydia A. Afman Netherlands
Clementina Mesaros United States
K.A. Gumaa relative to Seval Aydın Türkiye Seval Aydın's profile →
Citations per field
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Citations per year

Countries citing papers authored by K.A. Gumaa

Since Specialization
Citations

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

Fields of papers citing papers by K.A. Gumaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.A. Gumaa. 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 K.A. Gumaa. The network helps show where K.A. Gumaa may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201110
2 201115
3 200947
4 200912
5 200825
6 20086
7 200714
8 200729
9 200726
10 200522
11 200414
12 199639
13 19901
14 19901
15 19889
16 19831
17
Placental alkaline phosphatase in a Sudanese population: polymorphism and enzyme activity.
19797
18 1974157
19 197144
20 19689

About K.A. Gumaa

K.A. Gumaa is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Biochemistry, Clinical Biochemistry and Physiology, having authored 80 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (13 papers), Gestational Diabetes Research and Management (12 papers), Birth, Development, and Health (10 papers), Diet, Metabolism, and Disease (10 papers), Pancreatic function and diabetes (10 papers), Amino Acid Enzymes and Metabolism (7 papers), Metabolism and Genetic Disorders (7 papers) and Metabolism, Diabetes, and Cancer (6 papers). The work is most often cited by research in Obstetrics and Gynecology (294 citations), Clinical Biochemistry (196 citations), Endocrinology, Diabetes and Metabolism (411 citations), Physiology (530 citations) and Biochemistry (146 citations). K.A. Gumaa has collaborated with scholars based in United Kingdom, Kuwait and Bahrain. Frequent co-authors include Patricia McLean, A. L. Greenbaum, Farida M. Al-Awadi, Marco Scioscia, Thomas W. Rademacher, N. A. Mahmoud, A. M. A. Gader, Charles H. Rodeck, O.H. Osman and Sirilaksana Kunjara. Their work appears in journals such as FEBS Letters, Journal of Reproductive Immunology, Toxicon, Biochemical and Biophysical Research Communications and Acta Diabetologica.

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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