Mary A. Auma

429 total citations
2 papers, 45 citations indexed

About

Mary A. Auma is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology and Computational Theory and Mathematics. According to data from OpenAlex, Mary A. Auma has authored 2 papers receiving a total of 45 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Public Health, Environmental and Occupational Health, 1 paper in Epidemiology and 1 paper in Computational Theory and Mathematics. Recurrent topics in Mary A. Auma's work include Malaria Research and Control (2 papers), Computational Drug Discovery Methods (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). Mary A. Auma is often cited by papers focused on Malaria Research and Control (2 papers), Computational Drug Discovery Methods (1 paper) and Drug-Induced Hepatotoxicity and Protection (1 paper). Mary A. Auma collaborates with scholars based in Uganda, Japan and United States. Mary A. Auma's co-authors include Dan Nyehangane, Mark J. Siedner, Yap Boum, Juliet Mwanga‐Amumpaire, Christopher C. Moore, Eizo Takashima, Toshihiro Horii, Edward Hosea Ntege, Takafumi Tsuboi and Shouki Yatsushiro and has published in prestigious journals such as Malaria Journal.

In The Last Decade

Mary A. Auma

2 papers receiving 45 citations

Peers

Mary A. Auma

PHEOH

EPIDE

CTM

CCICM

ID

Benjamas Intharabut United Kingdom

Kourane Sissoko Mali

Fehintola V. Ajogbasile Nigeria

Mary Aigbiremo Oboh Nigeria

Samaly S. Svigel United States

Jade Bath United States

Matthew Abraham United States

Kwaku Poku Asante Ghana

Gabriel Mwambingu United Kingdom

André-Marie Tchouatieu Switzerland

Benjamas Intharabut United Kingdom

Mary A. Auma

62 ×2.3

PHEOH

8 ×0.5

EPIDE

12 ×1.0

CTM

4 ×0.6

CCICM

11 ×2.8

ID

Citations per year, relative to Mary A. Auma Mary A. Auma (= 1×) peers Benjamas Intharabut

Countries citing papers authored by Mary A. Auma

Since Specialization

Citations

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

Fields of papers citing papers by Mary A. Auma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary A. Auma. 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 Mary A. Auma. The network helps show where Mary A. Auma may publish in the future.

Co-authorship network of co-authors of Mary A. Auma

This figure shows the co-authorship network connecting the top 25 collaborators of Mary A. Auma. A scholar is included among the top collaborators of Mary A. Auma 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 Mary A. Auma. Mary A. Auma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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2 of 2 papers shown

1.

Balikagala, Betty, Toshihiro Mita, Mie Ikeda, et al.. (2017). Absence of in vivo selection for K13 mutations after artemether–lumefantrine treatment in Uganda. Malaria Journal. 16(1). 23–23. 19 indexed citations

2.

Auma, Mary A., Mark J. Siedner, Dan Nyehangane, et al.. (2013). Malaria is an uncommon cause of adult sepsis in south-western Uganda. Malaria Journal. 12(1). 146–146. 26 indexed citations

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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