Kenbugul Jatta

453 citations
21 papers · 338 · h-index 10

Impact in

Papers in

Kenbugul Jatta

21 papers receiving 334 citations

Peers

Kenbugul Jatta
Comparison fields: 5 of 61
  • Endocrinology, Diabetes and Metabolism 111
  • Immunology 105
  • Oncology 71
  • Cancer Research 36
  • Molecular Biology 117
Replace Daria Domańska with:
Daria Domańska Poland
Jeff Eastham-Anderson United States
Weipeng Zheng China
Wint Lwin United States
Elizabeth Wlodek United Kingdom
Xavier Pastor Hostench Spain
Emanuela Heller Germany
Olga Lettau Germany
Norio Takayashiki Japan
Ferenc Juhász Hungary
Kenbugul Jatta relative to Daria Domańska Poland Daria Domańska's profile →
Citations per field
00.5×2.7×
Daria Domańska · 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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200953
2 200553
3 201933
4 200832
5 200630
6 201924
7 201920
8 202016
9 200515
10 201814
11 20237
12 20207
13 20067
14 20067
15 20206
16 20235
17 20193
18 20242
19 20202
20 20241

About Kenbugul Jatta

Kenbugul Jatta is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Genetics, Surgery and Pathology and Forensic Medicine, having authored 21 papers that have together received 338 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (10 papers), BRCA gene mutations in cancer (5 papers), Genetic factors in colorectal cancer (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Chemokine receptors and signaling (3 papers), Head and Neck Anomalies (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (111 citations), Immunology (105 citations), Oncology (71 citations), Cancer Research (36 citations) and Molecular Biology (117 citations). Kenbugul Jatta has collaborated with scholars based in Sweden, United States and Australia. Frequent co-authors include Allan Sirsjö, C. Christofer Juhlin, Jan Zedenius, Peder S. Olofsson, Mehran Ghaderi, Dick Wågsäter, Adam Stenman, Yuri Sheikine, Ann Samnegård and Per Eriksson. Their work appears in journals such as Endocrine Pathology, Journal of Vascular Research, Head and Neck Pathology, Diagnostic Pathology and Atherosclerosis.

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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