Kenbugul Jatta

473 citations
24 papers · 381 · h-index 11

Impact in

    • Thyroid Cancer Diagnosis and Treatment
    • Adrenal Hormones and Disorders
    • Hormonal Regulation and Hypertension
    • Atherosclerosis and Cardiovascular Diseases
    • interferon and immune responses

Papers in

Kenbugul Jatta

22 papers receiving 372 citations

Peers

Kenbugul Jatta
Comparison fields: 5 of 60
  • Endocrinology, Diabetes and Metabolism 123
  • Immunology 87
  • Oncology 63
  • Cancer Research 33
  • Pathology and Forensic Medicine 31
Replace Zhihui Li with:
Zhihui Li China
Michael Oladimeji Idowu United States
Beata Jurecka‐Lubieniecka Poland
Trupti Trivedi India
Iljana M. Gaffar United States
Léopoldine Bricaire France
Yijun Chen China
A. Dhyani Italy
Caroline Broderick United States
Chaojie Wang United States
Kenbugul Jatta relative to Zhihui Li China Zhihui Li's profile →
Citations per field
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Zhihui Li · 1×
Citations per year

Countries citing papers authored by Kenbugul Jatta

Since Specialization
Citations

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

Fields of papers citing papers by Kenbugul Jatta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200557
2 200957
3 200638
4 201936
5 200835
6 201925
7 201920
8 202017
9 200515
10 201815
11 202311
12 20068
13 20208
14 20067
15 20207
16 20207
17 20235
18 20244
19 20193
20 20243

About Kenbugul Jatta

Kenbugul Jatta is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Oncology, Immunology and Genetics, having authored 24 papers that have together received 381 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (10 papers), BRCA gene mutations in cancer (4 papers), Chemokine receptors and signaling (3 papers), Lung Cancer Treatments and Mutations (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Genetic factors in colorectal cancer (3 papers), Cancer Diagnosis and Treatment (2 papers) and Head and Neck Anomalies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (123 citations), Immunology (87 citations), Oncology (63 citations), Cancer Research (33 citations) and Pathology and Forensic Medicine (31 citations). Kenbugul Jatta has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Allan Sirsjö, Carl Christofer Juhlin, Jan Zedenius, Peder S. Olofsson, Mehran Ghaderi, Dick Wågsäter, Adam Stenman, Yuri Sheikine, Johan O. Paulsson and Ann Samnegård. Their work appears in journals such as Journal of Vascular Research, Endocrine Pathology, Head and Neck Pathology, European Thyroid Journal and Arteriosclerosis Thrombosis and Vascular Biology.

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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