Rachel Neill

419 total citations
21 papers, 186 citations indexed

About

Rachel Neill is a scholar working on General Health Professions, Pediatrics, Perinatology and Child Health and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Rachel Neill has authored 21 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in General Health Professions, 7 papers in Pediatrics, Perinatology and Child Health and 6 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Rachel Neill's work include Global Maternal and Child Health (7 papers), Healthcare Systems and Reforms (5 papers) and Global Public Health Policies and Epidemiology (5 papers). Rachel Neill is often cited by papers focused on Global Maternal and Child Health (7 papers), Healthcare Systems and Reforms (5 papers) and Global Public Health Policies and Epidemiology (5 papers). Rachel Neill collaborates with scholars based in United States, Canada and Nigeria. Rachel Neill's co-authors include Helena Legido‐Quigley, Salma M. Abdalla, Anne-Sophie Jung, Victoria Haldane, Chuan De Foo, Shishi Wu, Yusra Ribhi Shawar, Sudhvir Singh, Anders Nordström and Alvin Qijia Chua and has published in prestigious journals such as SHILAP Revista de lepidopterología, Social Science & Medicine and BMJ.

In The Last Decade

Rachel Neill

19 papers receiving 182 citations

Peers

Rachel Neill
Comparison fields: 5 of 62
  • General Health Professions 56
  • Modeling and Simulation 41
  • Infectious Diseases 39
  • Economics and Econometrics 37
  • Sociology and Political Science 32
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Jérôme Pfaffmann Zambruni United States
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Lauren Paremoer South Africa
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Gillian McKay United Kingdom View profile →
Citations per field, relative to Rachel Neill
Rachel Neill · 1×
Citations per year, relative to Rachel Neill
Rachel Neill · 1×

Countries citing papers authored by Rachel Neill

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Neill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Neill

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 3
5 0
6 4
7 2
8 2
9 2
10 19
11 11
12 5
13 8
14 2
15 7
16 24
17 38
18 3
19 19
20 23

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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