Jennifer A. Cheeseman

1.4k citations
23 papers · 851 indexed · h-index 13
Topics
Renal Transplantation Outcomes and Treatments (6 papers)Mesenchymal stem cell research (5 papers)Immune Cell Function and Interaction (4 papers)
Partner nations
United StatesJapanSpain

In The Last Decade

Jennifer A. Cheeseman

23 papers receiving 840 citations

Peers

Jennifer A. Cheeseman
Comparison fields: 5 of 78
  • Transplantation 466
  • Surgery 348
  • Immunology 217
  • Epidemiology 214
  • Oncology 114
Replace D Conti with:
D Conti United States
Mathias Streitz Germany
James Pattison United Kingdom
Pedro Cano United States
Giuseppe Morreale Italy
Helena Katchman Israel
Waichi Wong United States
Nicolas Congy‐Jolivet France
Susan DeWolf United States
Bita Ansaripour Iran
Jennifer A. Cheeseman relative to D Conti United States D Conti's profile →
Citations per field
00.5×6.6×
D Conti · 1×
Citations per year

Countries citing papers authored by Jennifer A. Cheeseman

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer A. Cheeseman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer A. Cheeseman. 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 Jennifer A. Cheeseman. The network helps show where Jennifer A. Cheeseman may publish in the future.

Co-authorship network of co-authors of Jennifer A. Cheeseman

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer A. Cheeseman. A scholar is included among the top collaborators of Jennifer A. Cheeseman 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 Jennifer A. Cheeseman. Jennifer A. Cheeseman 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 7
2 10
3 59
4 87
5 56
6 104
7 140
8 14
9 6
10
Accuracy of Medicaid reporting in the ACS: Preliminary results from linked data
6
11 151
12 30
13 1
14 7
15 15
16 18
17 4
18 9
19
Genetic analysis of a spontaneous canine model of primary progressive multiple sclerosis
2
20 49

About Jennifer A. Cheeseman

Jennifer A. Cheeseman is a scholar working on Transplantation, Developmental Neuroscience and Genetics, having authored 23 papers that have together received 851 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (6 papers), Mesenchymal stem cell research (5 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Transplantation (466 citations), Immunology (217 citations) and Surgery (348 citations). Jennifer A. Cheeseman has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Allan D. Kirk, Sebastian D. Perez, Aneesh K. Mehta, Roger M. Clemmons, Hiroaki Kamishina, Christian P. Larsen, Barry L. Warshaw, Edward Kim, Beth Begley and Jennifer A. Jackson. Their work appears in journals such as The Journal of Immunology, PLoS ONE and The FASEB Journal.

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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