Elizabeth Neely

1.2k total citations
46 papers, 960 citations indexed

About

Elizabeth Neely is a scholar working on Hematology, Neurology and Neurology. According to data from OpenAlex, Elizabeth Neely has authored 46 papers receiving a total of 960 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 12 papers in Neurology and 9 papers in Neurology. Recurrent topics in Elizabeth Neely's work include Iron Metabolism and Disorders (16 papers), Neurological diseases and metabolism (10 papers) and Trace Elements in Health (8 papers). Elizabeth Neely is often cited by papers focused on Iron Metabolism and Disorders (16 papers), Neurological diseases and metabolism (10 papers) and Trace Elements in Health (8 papers). Elizabeth Neely collaborates with scholars based in United States, United Kingdom and Nigeria. Elizabeth Neely's co-authors include James R. Connor, Wint Nandar, Mary K. Howett, Zachary Simmons, Brian Wigdahl, Lynn R. Budgeon, Fred C. Krebs, Ian A. Simpson, Erica L. Unger and James Olukayode Olopade and has published in prestigious journals such as Journal of Biological Chemistry, Stroke and The FASEB Journal.

In The Last Decade

Elizabeth Neely

46 papers receiving 934 citations

Peers

Elizabeth Neely
Comparison fields: 5 of 119
  • Molecular Biology 190
  • Hematology 180
  • Nutrition and Dietetics 176
  • Neurology 149
  • Neurology 148
Replace Charles F. Simmons with:
Charles F. Simmons United States
Ivan Jovanović Serbia
Marco Musso Italy
Peter Heinz‐Erian Austria
Ana Isabel Gómez Córdoba Spain
John Millar United Kingdom
Nicholas G. Beratis United States
Jayne S. Reuben United States
Alvin E. Rodin United States
Charles F. Simmons United States View profile →
Citations per field, relative to Elizabeth Neely
Elizabeth Neely · 1×
Citations per year, relative to Elizabeth Neely
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Countries citing papers authored by Elizabeth Neely

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Neely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Neely

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Neely. A scholar is included among the top collaborators of Elizabeth Neely 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 Elizabeth Neely. Elizabeth Neely 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 1
2 3
3 1
4 3
5 13
6 13
7 10
8 12
9 7
10 25
11 55
12 27
13 45
14 11
15 59
16 17
17 13
18 18
19 73
20 6

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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