N. Connor

511 citations
20 papers · 345 · h-index 11

Impact in

Papers in

N. Connor

20 papers receiving 319 citations

Peers

N. Connor
Comparison fields: 5 of 69
  • Infectious Diseases 118
  • Microbiology 35
  • Physiology 71
  • Pharmacology 46
  • Virology 11
Replace Helen H. Kang with:
Helen H. Kang United States
Jade Fettig United States
Jeffrey Yuenger United States
Jason Szabo Canada
Ludovica Cogorno Italy
Marcy Gelman United States
J.T.H. Connor Canada
Bing‐Ru Wu Taiwan
Daniel Simões Portugal
M.M. Paniu Papua New Guinea
N. Connor relative to Helen H. Kang United States Helen H. Kang's profile →
Citations per field
00.5×
Helen H. Kang · 1×
Citations per year

Countries citing papers authored by N. Connor

Since Specialization
Citations

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

Fields of papers citing papers by N. Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201770
2 201851
3 199838
4 197738
5 200034
6 201126
7 199716
8 201014
9 197712
10 201711
11 200910
12 20148
13
Sexually transmitted diseases among teenagers in England and Wales.
19977
14 20113
15 20192
16
Survey of how public health doctors in the United Kingdom and Republic of Ireland investigate the effects of long-term exposure to point sources of chemicals.
20001
17
Prostaglandin and thromboxane production by rat macrophages [proceedings].
19791
18 20171
19 19991
20
Progress towards ending the HIV epidemic in the United Kingdom: 2018 report. Data to end of December 2017.
20191

About N. Connor

N. Connor is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Epidemiology and Physiology, having authored 20 papers that have together received 345 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (5 papers), Inflammatory mediators and NSAID effects (3 papers), HIV/AIDS Research and Interventions (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Syphilis Diagnosis and Treatment (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Bioactive Compounds and Antitumor Agents (1 paper) and Reproductive Health and Contraception (1 paper). The work is most often cited by research in Infectious Diseases (118 citations), Microbiology (35 citations), Physiology (71 citations), Pharmacology (46 citations) and Virology (11 citations). N. Connor has collaborated with scholars based in United Kingdom, Maldives and Canada. Frequent co-authors include A Nicoll, Dana Ogaz, Valérie Delpech, Peter Kirwan, Sophie Nash, Jennifer Roberts, John R. Walker, M. J. H. Smith, A. W. Ford‐Hutchinson and Hamish Mohammed. Their work appears in journals such as Haemophilia, Sexually Transmitted Infections, HIV Medicine, Neuroepidemiology and Obstetrical & Gynecological Survey.

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.

Explore authors with similar magnitude of impact