Nancy Connell

85 papers receiving 4.7k citations

Nancy Connell's Hit Papers

A detailed analysis of 16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria 2007 · 832 citations
8320+9+19Years since publication250500750

Peers

Nancy Connell
Comparison fields: 5 of 169
  • Infectious Diseases 1.8k
  • Molecular Medicine 342
  • Endocrinology 283
  • Microbiology 341
  • Epidemiology 1.6k
Replace Paul Warrener with:
Paul Warrener United States
Yasuhiko Suzuki Japan
Lynn G. Dover United Kingdom
Abigail L. Manson United States
Tsuyoshi Sekizuka Japan
Jonathan D. Edgeworth United Kingdom
Ernesto Nakayasu United States
Di Qu China
Christiane Bouchier France
Kévin Pethe Singapore
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Countries citing papers authored by Nancy Connell

Since Specialization
Citations

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

Fields of papers citing papers by Nancy Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A detailed analysis of 16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria
Hit paper breakdown →
2007832
2
Restricted structural gene polymorphism in the Mycobacterium tuberculosis complex indicates evolutionarily recent global dissemination
Hit paper breakdown →
1997820
3 1983297
4 1993184
5 1991183
6 2017126
7 2000123
8 1987119
9 2006111
10 1998110
11 201689
12 201381
13 200581
14 200775
15 200671
16 199568
17 200368
18 201462
19 201762
20 201561

About Nancy Connell

Nancy Connell is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Genetics and Immunology, having authored 87 papers that have together received 4.9k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (22 papers), Bacillus and Francisella bacterial research (15 papers), Mycobacterium research and diagnosis (12 papers), Yersinia bacterium, plague, ectoparasites research (8 papers), Pneumocystis jirovecii pneumonia detection and treatment (8 papers), Bacteriophages and microbial interactions (8 papers), Antibiotic Resistance in Bacteria (8 papers) and Vibrio bacteria research studies (7 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), Molecular Medicine (342 citations), Endocrinology (283 citations), Microbiology (341 citations) and Epidemiology (1.6k citations). Nancy Connell has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include David Alland, Michele Burday, Soumitesh Chakravorty, James G. Rheinwald, Barry N. Kreiswirth, James M. Musser, Srinand Sreevatsan, Xi Pan, Kathryn E. Stockbauer and Thomas S. Whittam. Their work appears in journals such as Journal of Bacteriology, Infection and Immunity, Antimicrobial Agents and Chemotherapy, Health Security and Scientific Reports.

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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