Ann M. Reed

11.0k total citations · 1 hit paper
113 papers, 5.5k citations indexed

About

Ann M. Reed is a scholar working on Epidemiology, Rheumatology and Immunology. According to data from OpenAlex, Ann M. Reed has authored 113 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Epidemiology, 43 papers in Rheumatology and 35 papers in Immunology. Recurrent topics in Ann M. Reed's work include Inflammatory Myopathies and Dermatomyositis (63 papers), Eosinophilic Disorders and Syndromes (26 papers) and Celiac Disease Research and Management (18 papers). Ann M. Reed is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (63 papers), Eosinophilic Disorders and Syndromes (26 papers) and Celiac Disease Research and Management (18 papers). Ann M. Reed collaborates with scholars based in United States, Canada and United Kingdom. Ann M. Reed's co-authors include Feng Chen, Joshua S. Yuan, C. Neal Stewart, Lauren M. Pachman, Steven R. Ytterberg, Lisa G. Rider, Emily C. Baechler, Brian M. Feldman, Floranne C. Ernste and Kelly T. McNallan and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Ann M. Reed

112 papers receiving 5.3k citations

Hit Papers

Statistical analysis of real-time PCR data 2006 2026 2012 2019 2006 500 1000 1.5k

Peers

Ann M. Reed
Comparison fields: 5 of 153
  • Epidemiology 2.4k
  • Rheumatology 1.7k
  • Molecular Biology 1.4k
  • Immunology 1.2k
  • Genetics 581
Replace M. Eric Gershwin with:
M. Eric Gershwin United States
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Anthony G. Wilson United Kingdom
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Carlos López‐Larrea Spain
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Mats Andersson Sweden
Ming Zhao China
Frode L. Jahnsen Norway
M. Eric Gershwin United States View profile →
Citations per field, relative to Ann M. Reed
Ann M. Reed · 1×
Citations per year, relative to Ann M. Reed
Ann M. Reed · 1×

Countries citing papers authored by Ann M. Reed

Since Specialization
Citations

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

Fields of papers citing papers by Ann M. Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann M. Reed. 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 Ann M. Reed. The network helps show where Ann M. Reed may publish in the future.

Co-authorship network of co-authors of Ann M. Reed

This figure shows the co-authorship network connecting the top 25 collaborators of Ann M. Reed. A scholar is included among the top collaborators of Ann M. Reed 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 Ann M. Reed. Ann M. Reed 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 14
3 35
4 16
5 12
6 190
7 12
8 73
9 45
10 19
11 92
12 10
13 6
14 29
15
Statistical analysis of real-time PCR data breakdown →
1733
16 57
17 52
18 6
19 27
20 44

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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