Jane Chuma

47 papers receiving 1.8k citations

Peers

Jane Chuma
Comparison fields: 5 of 117
  • Finance 944
  • Pediatrics, Perinatology and Child Health 1.2k
  • General Health Professions 799
  • Economics and Econometrics 446
  • Nutrition and Dietetics 211
Replace Por Ir with:
Por Ir Cambodia
James Akazili Ghana
Dominic Montagu United States
Daniel Arhinful Ghana
Justine Hsu Switzerland
Paulin Basinga United States
Hannah H. Leslie United States
Benjamin Tsofa Kenya
Freddie Ssengooba Uganda
Frank Nyonator Ghana
Jane Chuma relative to Por Ir Cambodia Por Ir's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jane Chuma

Since Specialization
Citations

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

Fields of papers citing papers by Jane Chuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007171
2 2012165
3 2010141
4 200997
5 200691
6 201185
7 201882
8 200972
9 201770
10 201970
11 201766
12 201954
13 201753
14 201250
15 201346
16 201745
17 200741
18 201038
19 201538
20 201036

About Jane Chuma

Jane Chuma is a scholar working on Finance, Pediatrics, Perinatology and Child Health, General Health Professions, Economics and Econometrics and Modeling and Simulation, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Global Maternal and Child Health (40 papers), Healthcare Systems and Reforms (32 papers), Global Health Care Issues (16 papers), HIV/AIDS Impact and Responses (6 papers), Child Nutrition and Water Access (6 papers), Healthcare Policy and Management (5 papers), Malaria Research and Control (4 papers) and COVID-19 Pandemic Impacts (3 papers). The work is most often cited by research in Finance (944 citations), Pediatrics, Perinatology and Child Health (1.2k citations), General Health Professions (799 citations), Economics and Econometrics (446 citations) and Nutrition and Dietetics (211 citations). Jane Chuma has collaborated with scholars based in Kenya, United Kingdom and United States. Frequent co-authors include Sassy Molyneux, Vincent Okungu, Thomas Maina, Edwine Barasa, Lucy Gilson, Stephen Mulupi, Laura Di Giorgio, Stefania Ilinca, Doris Kirigia and Paola Salari. Their work appears in journals such as International Journal for Equity in Health, BMC Health Services Research, The International Journal of Health Planning and Management, Health Policy and Planning and Malaria Journal.

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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