Margaret E. Conner

6.0k citations
86 papers · 4.6k · 1 hit paper · h-index 42

Impact in

Papers in

Margaret E. Conner

82 papers receiving 4.4k citations

Margaret E. Conner's Hit Papers

Gut microbiota utilize immunoglobulin A for mucosal colonization 2018 · 476 citations
4760+2+5Years since publication100200300400

Peers

Margaret E. Conner
Comparison fields: 5 of 114
  • Infectious Diseases 3.2k
  • Animal Science and Zoology 1.4k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Hepatology 356
  • Endocrinology 186
Replace Lijuan Yuan with:
Lijuan Yuan United States
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Franco Maria Ruggeri Italy
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Citations per field
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Citations per year

Countries citing papers authored by Margaret E. Conner

Since Specialization
Citations

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

Fields of papers citing papers by Margaret E. Conner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margaret E. Conner. 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 Margaret E. Conner. The network helps show where Margaret E. Conner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gut microbiota utilize immunoglobulin A for mucosal colonization
Hit paper breakdown →
2018476
2 2015295
3 2003197
4 1997164
5 1998140
6 1992137
7 2006124
8 2007120
9 2000112
10 1998110
11 1996108
12 2012108
13 2006106
14 2003104
15 1998102
16 1993101
17 201799
18 201291
19 198881
20 200080

About Margaret E. Conner

Margaret E. Conner is a scholar working on Infectious Diseases, Animal Science and Zoology, Genetics, Cardiology and Cardiovascular Medicine and Surgery, having authored 86 papers that have together received 4.6k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (62 papers), Animal Virus Infections Studies (30 papers), Virus-based gene therapy research (17 papers), Viral Infections and Immunology Research (14 papers), Clostridium difficile and Clostridium perfringens research (7 papers), Animal health and immunology (6 papers), Congenital Anomalies and Fetal Surgery (6 papers) and Vector-Borne Animal Diseases (5 papers). The work is most often cited by research in Infectious Diseases (3.2k citations), Animal Science and Zoology (1.4k citations), Cardiology and Cardiovascular Medicine (1.3k citations), Hepatology (356 citations) and Endocrinology (186 citations). Margaret E. Conner has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Mary K. Estes, Sarah E. Blutt, Sue E. Crawford, Max Ciarlet, David Y. Graham, Christopher Barone, Milton J. Finegold, Kelly L. Warfield, David O. Matson and Mark A. Gilger. Their work appears in journals such as Journal of Virology, The Journal of Immunology, Archives of Virology, Vaccine and Neurogastroenterology & Motility.

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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