Kim Rice

1.4k citations
11 papers · 1.0k indexed · 1 hit paper · h-index 9

Impact in

    • Renal Transplantation Outcomes and Treatments
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

Kim Rice

11 papers receiving 1.0k citations

Hit Papers

Belatacept and Long-Term Outcomes in Kidney Transplantation 2016 · 528 citations
5282016202620192022100200300400500

Peers

Kim Rice
Comparison fields: 5 of 76
  • Transplantation 707
  • Immunology 270
  • Nephrology 66
  • Surgery 361
  • Infectious Diseases 143
Replace Marie‐Christine Moal with:
Marie‐Christine Moal France
Heather Morris United States
D Conti United States
John H. Artrip United States
P Lang France
Mark T. Grattan United States
C. Boesmueller Austria
S Constantinescu United States
D.E. Pitts United States
Griffith Bp United States
Kim Rice relative to Marie‐Christine Moal France Marie‐Christine Moal's profile →
Citations per field
00.5×1.5×
Marie‐Christine Moal · 1×
Citations per year

Countries citing papers authored by Kim Rice

Since Specialization
Citations

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

Fields of papers citing papers by Kim Rice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kim Rice, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kim Rice Line = papers co-authored together Kim Rice links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20188
2
Belatacept and Long-Term Outcomes in Kidney Transplantation
Hit paper breakdown →
2016528
3 20169
4 20156
5 201435
6 2013127
7 20121
8 2011238
9 200937
10 200913
11 200132

About Kim Rice

Kim Rice is a scholar working on Transplantation, Infectious Diseases, Epidemiology, Oncology and Immunology, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (5 papers), Virus-based gene therapy research (2 papers), Complement system in diseases (2 papers), Organ Transplantation Techniques and Outcomes (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Cytomegalovirus and herpesvirus research (2 papers), HIV/AIDS drug development and treatment (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Transplantation (707 citations), Immunology (270 citations), Nephrology (66 citations), Surgery (361 citations) and Infectious Diseases (143 citations). Kim Rice has collaborated with scholars based in United States, France and Argentina. Frequent co-authors include Lionel Rostaing, Flavio Vincenti, Christian P. Larsen, Steven Steinberg, Luis Gaite, Marie‐Christine Moal, Stéphane Munier, Martin S. Polinsky, J.M. Boria Grinyo and Herwig‐Ulf Meier‐Kriesche. Their work appears in journals such as Transplantation, American Journal of Transplantation, Clinical Transplantation, New England Journal of Medicine and American Industrial Hygiene Association 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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