Renee Simms

916 citations
17 papers · 560 indexed · h-index 11

Impact in

  • Epidemiology top 10%
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments
  • Oncology top 10%
    • Polyomavirus and related diseases
    • CAR-T cell therapy research

Papers in

Renee Simms

16 papers receiving 555 citations

Peers

Renee Simms
Comparison fields: 5 of 36
  • Epidemiology 412
  • Oncology 322
  • Hematology 77
  • Genetics 192
  • Immunology 136
Replace Ming‐Celine Dubosq with:
Ming‐Celine Dubosq Australia
Kathrin Opherk Germany
Usha L. Katari United States
Sylvia Borchers Germany
Gaurav Sutrave Australia
Annette Kleihauer United States
Louise A. Veltrop‐Duits Netherlands
Patricia Graef Germany
Valérie Guérin‐El Khourouj France
Renee Simms relative to Ming‐Celine Dubosq Australia Ming‐Celine Dubosq's profile →
Citations per field
00.5×1.5×
Ming‐Celine Dubosq · 1×
Citations per year

Countries citing papers authored by Renee Simms

Since Specialization
Citations

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

Fields of papers citing papers by Renee Simms

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Renee Simms, 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 Renee Simms Line = papers co-authored together Renee Simms links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2013181
2 2017104
3 201153
4 201847
5 201545
6 201332
7 202226
8 201222
9 201113
10 201712
11 201910
12 20156
13 20224
14 20193
15 20081
16 20141
17 20200

About Renee Simms

Renee Simms is a scholar working on Epidemiology, Parasitology, Immunology, Genetics and Oncology, having authored 17 papers that have together received 560 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (11 papers), Virus-based gene therapy research (7 papers), Herpesvirus Infections and Treatments (7 papers), Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (4 papers), Polyomavirus and related diseases (2 papers), Immunotherapy and Immune Responses (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Epidemiology (412 citations), Oncology (322 citations), Hematology (77 citations), Genetics (192 citations) and Immunology (136 citations). Renee Simms has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include David Gottlieb, Emily Blyth, Leighton Clancy, Kenneth Micklethwaite, Jane Burgess, Peter J. Shaw, Ming‐Celine Dubosq, Shivashni Deo, Rebecca T. Brown and Karen Byth. Their work appears in journals such as Cytotherapy, Blood, Biology of Blood and Marrow Transplantation, Blood Advances and Clinical Kidney 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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