Gemma C. Langridge

4.0k citations
50 papers · 2.0k indexed · 1 hit paper · h-index 22
Topics
Salmonella and Campylobacter epidemiology (31 papers)Bacteriophages and microbial interactions (17 papers)Antibiotic Resistance in Bacteria (15 papers)

In The Last Decade

Gemma C. Langridge

47 papers receiving 2.0k citations

Hit Papers

Simultaneous assay of every Salmonella Typhi gene using o...20092026201420202009100200300400

Peers

Gemma C. Langridge
Comparison fields: 5 of 82
  • Food Science 844
  • Molecular Biology 795
  • Endocrinology 678
  • Ecology 568
  • Molecular Medicine 493
Replace Mark K. Mammel with:
Mark K. Mammel United States
J. Eugene LeClerc United States
Carsten Friis Denmark
Philip Ashton United Kingdom
Manal AbuOun United Kingdom
Line Elnif Thomsen Denmark
Dieter M. Schifferli United States
Hidemasa Izumiya Japan
Wanderley Dias da Silveira Brazil
Melha Mellata United States
Gemma C. Langridge relative to Mark K. Mammel United States Mark K. Mammel's profile →
Citations per field
00.5×1.6×
Mark K. Mammel · 1×
Citations per year

Countries citing papers authored by Gemma C. Langridge

Since Specialization
Citations

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

Fields of papers citing papers by Gemma C. Langridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gemma C. Langridge. 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 Gemma C. Langridge. The network helps show where Gemma C. Langridge may publish in the future.

Co-authorship network of co-authors of Gemma C. Langridge

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma C. Langridge. A scholar is included among the top collaborators of Gemma C. Langridge 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 Gemma C. Langridge. Gemma C. Langridge 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
#WorkIndexed citations
1 0
2 0
3 0
4 23
5 7
6 1
7 3
8 2
9 12
10 5
11 31
12 32
13 47
14 10
15 38
16 6
17 2
18 160
19 12
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Simultaneous assay of every Salmonella Typhi gene using one million transposon mutantsbreakdown →
468

About Gemma C. Langridge

Gemma C. Langridge is a scholar working on Endocrinology, Molecular Medicine and Food Science, having authored 50 papers that have together received 2.0k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (31 papers), Bacteriophages and microbial interactions (17 papers) and Antibiotic Resistance in Bacteria (15 papers). The work is most often cited by research in Endocrinology (678 citations), Molecular Medicine (493 citations) and Food Science (844 citations). Gemma C. Langridge has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Julian Parkhill, John Wain, Gordon Dougan, A. Keith Turner, Duncan J. Maskell, Sarah E. Peters, Daniel J. Turner, Minh‐Duy Phan, Ian G. Charles and Nicholas R. Thomson. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.

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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