Natalie J. Griffiths

20 total papers · 729 total citations
14 papers, 574 citations indexed

About

Natalie J. Griffiths is a scholar working on Microbiology, Oncology and Molecular Biology. According to data from OpenAlex, Natalie J. Griffiths has authored 14 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Microbiology, 5 papers in Oncology and 4 papers in Molecular Biology. Recurrent topics in Natalie J. Griffiths's work include Bacterial Infections and Vaccines (11 papers), Peptidase Inhibition and Analysis (5 papers) and Pneumonia and Respiratory Infections (3 papers). Natalie J. Griffiths is often cited by papers focused on Bacterial Infections and Vaccines (11 papers), Peptidase Inhibition and Analysis (5 papers) and Pneumonia and Respiratory Infections (3 papers). Natalie J. Griffiths collaborates with scholars based in United Kingdom, Belgium and India. Natalie J. Griffiths's co-authors include Mumtaz Virji, Darryl J. Hill, Elena Borodinа, Isabel Murillo, Robert S. Heyderman, Sandrine Bourdoulous, P. Morand, Étienne Carbonnelle, Xavier Nassif and Richard B. Sessions and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular Microbiology.

In The Last Decade

Natalie J. Griffiths

14 papers receiving 542 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Natalie J. Griffiths 371 205 141 128 63 14 574
Corinna Schmitt 189 0.5× 214 1.0× 151 1.1× 107 0.8× 65 1.0× 16 580
Farshid Jalalvand 227 0.6× 232 1.1× 166 1.2× 93 0.7× 45 0.7× 14 600
P A Gulig 380 1.0× 224 1.1× 131 0.9× 72 0.6× 46 0.7× 10 584
A G Lundemose 256 0.7× 142 0.7× 255 1.8× 120 0.9× 45 0.7× 13 582
Milda Plečkaitytė 317 0.9× 281 1.4× 248 1.8× 59 0.5× 48 0.8× 35 605
Mumtaz Virji 465 1.3× 213 1.0× 142 1.0× 95 0.7× 116 1.8× 7 553
Hendrik Jan Hamstra 394 1.1× 271 1.3× 109 0.8× 207 1.6× 42 0.7× 13 537
Wade A. Nichols 291 0.8× 223 1.1× 228 1.6× 119 0.9× 77 1.2× 19 656
Anthony Zaleski 225 0.6× 166 0.8× 256 1.8× 92 0.7× 71 1.1× 10 536
Christiane Feron 328 0.9× 305 1.5× 92 0.7× 100 0.8× 42 0.7× 18 522

Countries citing papers authored by Natalie J. Griffiths

Since Specialization
Citations

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

Fields of papers citing papers by Natalie J. Griffiths

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie J. Griffiths. 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 Natalie J. Griffiths. The network helps show where Natalie J. Griffiths may publish in the future.

Co-authorship network of co-authors of Natalie J. Griffiths

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie J. Griffiths. A scholar is included among the top collaborators of Natalie J. Griffiths 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 Natalie J. Griffiths. Natalie J. Griffiths is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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