Huseini Alidu

677 citations
36 papers · 473 · h-index 13

Impact in

Papers in

Huseini Alidu

34 papers receiving 457 citations

Peers

Huseini Alidu
Comparison fields: 5 of 74
  • Obstetrics and Gynecology 71
  • Agronomy and Crop Science 89
  • Psychiatry and Mental health 96
  • Endocrinology, Diabetes and Metabolism 76
  • Plant Science 155
Replace Sudha Venkatramanan with:
Sudha Venkatramanan United States
Sarita Devi India
Sadia Fatima Pakistan
S. McMullen United States
Manuela Roca Spain
Zachary W. Patinkin United States
Mahnaz Shahnazi Iran
P. Lucas United Kingdom
A.M. Ferris United States
Olayinka Abosede Ojo Nigeria
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Citations per field
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Citations per year

Countries citing papers authored by Huseini Alidu

Since Specialization
Citations

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

Fields of papers citing papers by Huseini Alidu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201157
2 201345
3 201945
4 201840
5 201733
6 201324
7 201721
8 201619
9 201518
10 202015
11 202314
12 202013
13 201813
14 201712
15
Assessment of Genotype by Environment interactions and Grain Yield Performance of Extra-Early Maize ( Zea Mays L.) Hybrids
201311
16 201911
17 201610
18 201710
19 20179
20 20168

About Huseini Alidu

Huseini Alidu is a scholar working on Psychiatry and Mental health, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Plant Science and Agronomy and Crop Science, having authored 36 papers that have together received 473 indexed citations. Recurring topics across this work include Sexual function and dysfunction studies (9 papers), Crop Yield and Soil Fertility (6 papers), Gestational Diabetes Research and Management (6 papers), Genetics and Plant Breeding (6 papers), Pregnancy and preeclampsia studies (5 papers), Hormonal and reproductive studies (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Menopause: Health Impacts and Treatments (3 papers). The work is most often cited by research in Obstetrics and Gynecology (71 citations), Agronomy and Crop Science (89 citations), Psychiatry and Mental health (96 citations), Endocrinology, Diabetes and Metabolism (76 citations) and Plant Science (155 citations). Huseini Alidu has collaborated with scholars based in Ghana, Benin and Nigeria. Frequent co-authors include Nafiu Amidu, Ahmed Tijani Bawah, Christian Kofi Gyasi-Sarpong, K. Obeng‐Antwi, Chabi G. Yallou, Baffour Badu‐Apraku, M. Oyekunle, Nii Korley Kortei, Lawrence Quaye and Akwasi Akomeah Agyekum. Their work appears in journals such as International Journal of Impotence Research, BioMed Research International, Crop Science, Diabetology & Metabolic Syndrome and Clinical Hypertension.

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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