Mercy Daka

9 total papers · 462 total citations
5 papers, 259 citations indexed

About

Mercy Daka is a scholar working on Surgery, Hematology and Internal Medicine. According to data from OpenAlex, Mercy Daka has authored 5 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Hematology and 2 papers in Internal Medicine. Recurrent topics in Mercy Daka's work include Heparin-Induced Thrombocytopenia and Thrombosis (4 papers), Platelet Disorders and Treatments (4 papers) and Intramuscular injections and effects (2 papers). Mercy Daka is often cited by papers focused on Heparin-Induced Thrombocytopenia and Thrombosis (4 papers), Platelet Disorders and Treatments (4 papers) and Intramuscular injections and effects (2 papers). Mercy Daka collaborates with scholars based in Canada, United States and Zambia. Mercy Daka's co-authors include Ishac Nazy, John G. Kelton, Donald M. Arnold, Angela Huynh, James W. Smith, Rumi Clare, Nikola Ivetic, James V. Michael, Steven E. McKenzie and Jane C. Moore and has published in prestigious journals such as Nature, Journal of Thrombosis and Haemostasis and Blood Advances.

In The Last Decade

Mercy Daka

4 papers receiving 257 citations

Hit Papers

Antibody epitopes in vacc... 2021 2026 2022 2024 2021 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. Antibody epitopes in vaccine-induced immune thrombotic thrombocytopaenia
    2021 207 citations Angela Huynh, John G. Kelton et al. Nature profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mercy Daka 203 186 79 58 39 5 259
Martin Mehrländer 35 0.2× 47 0.3× 15 0.2× 36 0.6× 70 1.8× 4 145
M. Schechter 87 0.4× 24 0.1× 32 0.4× 4 0.1× 71 1.8× 7 222
A Giles 122 0.6× 116 0.6× 19 0.2× 125 2.2× 16 0.4× 9 317
Guat Bee Tan 34 0.2× 22 0.1× 20 0.3× 15 0.3× 64 1.6× 8 193
Charles Grimley 56 0.3× 63 0.3× 5 0.1× 28 0.5× 16 0.4× 7 181
Roderick L. Johnson 184 0.9× 40 0.2× 44 0.6× 3 0.1× 8 0.2× 7 296
Karen K. Swisher 61 0.3× 122 0.7× 11 0.1× 9 0.2× 9 0.2× 9 283
Loïk Geffray 44 0.2× 80 0.4× 4 0.1× 29 0.5× 12 0.3× 9 225
Michael Hollingshead 169 0.8× 10 0.1× 18 0.2× 41 0.7× 25 0.6× 7 314
S. Couban 28 0.1× 259 1.4× 12 0.2× 7 0.1× 10 0.3× 4 323

Countries citing papers authored by Mercy Daka

Since Specialization
Citations

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

Fields of papers citing papers by Mercy Daka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mercy Daka

This figure shows the co-authorship network connecting the top 25 collaborators of Mercy Daka. A scholar is included among the top collaborators of Mercy Daka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mercy Daka. Mercy Daka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026