Eric Sekyere

1.5k citations
22 papers · 918 · h-index 17

Impact in

Papers in

    • RNA regulation and disease 4
    • Protein Degradation and Inhibitors 3
    • Retinoids in leukemia and cellular processes 3
    • Histone Deacetylase Inhibitors Research 3

Eric Sekyere

22 papers receiving 907 citations

Peers

Eric Sekyere
Comparison fields: 5 of 98
  • Geriatrics and Gerontology 63
  • Neurology 139
  • Hematology 84
  • Genetics 72
  • Molecular Biology 488
Replace Simeon Santourlidis with:
Simeon Santourlidis Germany
Norimasa Matsushita Japan
Fang Zhao China
Ho-Chou Tu United States
Yuchen Chien United States
Upal Basu-Roy United States
Keiji Kikuchi Japan
Kadir C. Akdemir United States
Lucia Mazzacurati United States
Shu Fen Wen United States
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Citations per field
00.5×8.7×
Simeon Santourlidis · 1×
Citations per year

Countries citing papers authored by Eric Sekyere

Since Specialization
Citations

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

Fields of papers citing papers by Eric Sekyere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011127
2 200790
3 200672
4 201069
5 199866
6 201565
7 201057
8 200047
9 201042
10 200539
11 200939
12 200236
13 201132
14 200931
15 200529
16 200923
17 201622
18 202016
19 20058
20 20234

About Eric Sekyere

Eric Sekyere is a scholar working on Molecular Biology, Genetics, Neurology, Hematology and Immunology, having authored 22 papers that have together received 918 indexed citations. Recurring topics across this work include RNA regulation and disease (4 papers), Protein Degradation and Inhibitors (3 papers), Retinoids in leukemia and cellular processes (3 papers), Neuroblastoma Research and Treatments (3 papers), interferon and immune responses (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Iron Metabolism and Disorders (3 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Geriatrics and Gerontology (63 citations), Neurology (139 citations), Hematology (84 citations), Genetics (72 citations) and Molecular Biology (488 citations). Eric Sekyere has collaborated with scholars based in Australia, United States and Italy. Frequent co-authors include Des R. Richardson, Louise Dunn, Glenn M. Marshall, Wayne Thomas, Murray D. Norris, Michelle Haber, Yohan Suryo Rahmanto, Tao Liu, Giovanni Perini and Nunzio Iraci. Their work appears in journals such as Oncogene, Blood, Carcinogenesis, The Journal of Pathology and Biochimica et Biophysica Acta (BBA) - General Subjects.

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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