Eva Laker

61 total papers · 1.1k total citations
22 papers, 160 citations indexed

About

Eva Laker is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Eva Laker has authored 22 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 7 papers in Virology and 7 papers in Epidemiology. Recurrent topics in Eva Laker's work include HIV/AIDS Research and Interventions (11 papers), HIV/AIDS drug development and treatment (10 papers) and HIV Research and Treatment (7 papers). Eva Laker is often cited by papers focused on HIV/AIDS Research and Interventions (11 papers), HIV/AIDS drug development and treatment (10 papers) and HIV Research and Treatment (7 papers). Eva Laker collaborates with scholars based in Uganda, United Kingdom and United States. Eva Laker's co-authors include Mohammed Lamorde, Rosalind Parkes‐Ratanshi, Barbara Castelnuovo, Kay Seden, Melanie R. Nicol, Joshua Rhein, Nicole Engen, David B. Meya, Darlisha A Williams and Caleb P Skipper and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy and British Journal of Clinical Pharmacology.

In The Last Decade

Eva Laker

20 papers receiving 160 citations

Author Peers

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

Author Last Decade Papers Cites
Eva Laker 112 55 40 25 21 22 160
Julian Adong 139 1.2× 96 1.7× 21 0.5× 32 1.3× 72 3.4× 28 214
Chris Keh 80 0.7× 77 1.4× 19 0.5× 35 1.4× 31 1.5× 18 214
Nicolas Salvadori 122 1.1× 65 1.2× 49 1.2× 39 1.6× 10 0.5× 22 167
Herry Mapesi 135 1.2× 79 1.4× 43 1.1× 47 1.9× 36 1.7× 23 189
Linxuan Wu 58 0.5× 53 1.0× 14 0.3× 15 0.6× 59 2.8× 27 203
Adelline Twimukye 127 1.1× 59 1.1× 16 0.4× 42 1.7× 57 2.7× 16 163
Aggrey Mweemba 118 1.1× 46 0.8× 62 1.6× 23 0.9× 9 0.4× 25 222
Wadzanai Samaneka 111 1.0× 66 1.2× 60 1.5× 28 1.1× 20 1.0× 21 203
Anne Njoroge 89 0.8× 63 1.1× 37 0.9× 25 1.0× 57 2.7× 24 164
Sharlaa Badal‐Faesen 160 1.4× 39 0.7× 69 1.7× 108 4.3× 21 1.0× 16 231

Countries citing papers authored by Eva Laker

Since Specialization
Citations

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

Fields of papers citing papers by Eva Laker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Laker

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Laker. A scholar is included among the top collaborators of Eva Laker 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 Eva Laker. Eva Laker 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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