Clara Lawler

600 total citations
26 papers, 453 citations indexed

About

Clara Lawler is a scholar working on Epidemiology, Oncology and Immunology. According to data from OpenAlex, Clara Lawler has authored 26 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Epidemiology, 11 papers in Oncology and 11 papers in Immunology. Recurrent topics in Clara Lawler's work include Cytomegalovirus and herpesvirus research (21 papers), Herpesvirus Infections and Treatments (17 papers) and Viral-associated cancers and disorders (10 papers). Clara Lawler is often cited by papers focused on Cytomegalovirus and herpesvirus research (21 papers), Herpesvirus Infections and Treatments (17 papers) and Viral-associated cancers and disorders (10 papers). Clara Lawler collaborates with scholars based in Australia, United Kingdom and United States. Clara Lawler's co-authors include Philip G. Stevenson, Helen E. Farrell, Kimberley Bruce, Nicholas Davis‐Poynter, Cindy S. E. Tan, Janet S. May, Michael Mach, Rhonda D. Cardin, Martha Trindade Oliveira and Lars Dölken and has published in prestigious journals such as Nature Communications, Journal of Virology and PLoS Pathogens.

In The Last Decade

Clara Lawler

24 papers receiving 450 citations

Peers

Clara Lawler
Comparison fields: 5 of 56
  • Epidemiology 341
  • Immunology 234
  • Oncology 96
  • Parasitology 57
  • Neurology 44
Replace Kathy S. Cho with:
Kathy S. Cho United States
Kimberley Bruce Australia
Birgit Kühnapfel Germany
Danna Hargett United States
Ann Hill United States
Jason Buehler United States
Verena Böhm Germany
Anna Buch Germany
Danny Kägebein Germany
Khamsone Phasouk United States
Kathy S. Cho United States View profile →
Citations per field, relative to Clara Lawler
Clara Lawler · 1×
Citations per year, relative to Clara Lawler
Clara Lawler · 1×

Countries citing papers authored by Clara Lawler

Since Specialization
Citations

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

Fields of papers citing papers by Clara Lawler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clara Lawler

This figure shows the co-authorship network connecting the top 25 collaborators of Clara Lawler. A scholar is included among the top collaborators of Clara Lawler 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 Clara Lawler. Clara Lawler 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
# Work Indexed citations
1 0
2 0
3 2
4 4
5 9
6 2
7 4
8 22
9 27
10 11
11 9
12 15
13 58
14 26
15 13
16 8
17 57
18 26
19 57
20 26

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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