Giselle Chamberlain

6.4k citations
18 papers · 3.4k indexed · 2 hit papers · h-index 14
Topics
Mesenchymal stem cell research (5 papers)Diabetes and associated disorders (5 papers)Immune Response and Inflammation (4 papers)

In The Last Decade

Giselle Chamberlain

18 papers receiving 3.3k citations

Hit Papers

Concise Review: Mesenchymal Stem Cells: Their Phenotype, ...20072026201320192007201450010001.5k

Peers

Giselle Chamberlain
Comparison fields: 5 of 123
  • Genetics 1.5k
  • Molecular Biology 1.0k
  • Surgery 912
  • Immunology 697
  • Oncology 480
Replace Jim Middleton with:
Jim Middleton United Kingdom
Shigeto Shimmura Japan
Guangwu Xu United States
Joo Youn Oh South Korea
Hosoon Choi United States
Maroun Khoury Chile
Wanjun Chen China
Alma J. Nauta Netherlands
Sun U. Song South Korea
Balázs Mayer Hungary
Giselle Chamberlain relative to Jim Middleton United Kingdom Jim Middleton's profile →
Citations per field
00.5×1.5×
Jim Middleton · 1×
Citations per year

Countries citing papers authored by Giselle Chamberlain

Since Specialization
Citations

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

Fields of papers citing papers by Giselle Chamberlain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giselle Chamberlain

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 12
2 11
3 4
4 24
5 53
6 19
7
Emerging Role of Endosomal Toll-Like Receptors in Rheumatoid Arthritisbreakdown →
671
8 88
9 54
10 29
11 96
12 225
13 68
14
Concise Review: Mesenchymal Stem Cells: Their Phenotype, Differentiation Capacity, Immunological Features, and Potential for Homingbreakdown →
1858
15 6
16 50
17 91
18 51

About Giselle Chamberlain

Giselle Chamberlain is a scholar working on Genetics, Immunology and Biological Psychiatry, having authored 18 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Diabetes and associated disorders (5 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Genetics (1.5k citations), Immunology (697 citations) and Urology (189 citations). Giselle Chamberlain has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jim Middleton, Brian A. Ashton, James M. Fox, Sandra Sacre, Ryan S. Thwaites, Karina T. Wright, G. Ed Rainger, Helen K. Smith, L. Mullen and Linda S. Wicker. Their work appears in journals such as The Journal of Immunology, PLoS ONE and Diabetes.

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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