Clare S. Hardman

3.4k total citations
23 papers, 2.3k citations indexed

About

Clare S. Hardman is a scholar working on Immunology, Surgery and Physiology. According to data from OpenAlex, Clare S. Hardman has authored 23 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 9 papers in Surgery and 4 papers in Physiology. Recurrent topics in Clare S. Hardman's work include Immune Cell Function and Interaction (15 papers), IL-33, ST2, and ILC Pathways (13 papers) and Eosinophilic Esophagitis (9 papers). Clare S. Hardman is often cited by papers focused on Immune Cell Function and Interaction (15 papers), IL-33, ST2, and ILC Pathways (13 papers) and Eosinophilic Esophagitis (9 papers). Clare S. Hardman collaborates with scholars based in United Kingdom, Sri Lanka and Australia. Clare S. Hardman's co-authors include Andrew N. J. McKenzie, Jillian L. Barlow, Veera Panova, Graham S. Ogg, See Heng Wong, Lesley Drynan, Daniel R. Neill, Yi‐Ling Chen, Helen E. Jolin and Danuta Gutowska‐Owsiak and has published in prestigious journals such as Cell, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Clare S. Hardman

22 papers receiving 2.3k citations

Peers

Clare S. Hardman
Comparison fields: 5 of 96
  • Immunology 1.9k
  • Surgery 1.1k
  • Physiology 583
  • Dermatology 272
  • Immunology and Allergy 180
Replace Anne‐Gaëlle Besnard with:
Anne‐Gaëlle Besnard France
Timotheus Y.F. Halim United Kingdom
Maria Daly United Kingdom
Itziar Martínez-González Canada
Yrina Rochman United States
Zoulfia Allakhverdi Canada
Masashi Ohtani Japan
Yasutomo Imai Japan
T. Bjerke Denmark
Jane Peake Australia
Anne‐Gaëlle Besnard France View profile →
Citations per field, relative to Clare S. Hardman
Clare S. Hardman · 1×
Citations per year, relative to Clare S. Hardman
Clare S. Hardman · 1×

Countries citing papers authored by Clare S. Hardman

Since Specialization
Citations

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

Fields of papers citing papers by Clare S. Hardman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clare S. Hardman. 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 Clare S. Hardman. The network helps show where Clare S. Hardman may publish in the future.

Co-authorship network of co-authors of Clare S. Hardman

This figure shows the co-authorship network connecting the top 25 collaborators of Clare S. Hardman. A scholar is included among the top collaborators of Clare S. Hardman 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 Clare S. Hardman. Clare S. Hardman 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 8
2 19
3 17
4 11
5 12
6 12
7 194
8 34
9
Fevipiprant, a Selective Prostaglandin D-2 Receptor 2 Antagonist, Potently Inhibits Chemotaxis and Cytokine Production by Group 2 Innate Lymphoid Cells
1
10 74
11 34
12 61
13 200
14 61
15 76
16 318
17 184
18 480
19 389
20
Why recording lectures requires a new approach
1

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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