Kimberly Ruiz

474 citations
15 papers · 319 indexed · h-index 6
Topics
Health Systems, Economic Evaluations, Quality of Life (2 papers)Hemoglobinopathies and Related Disorders (2 papers)Hematopoietic Stem Cell Transplantation (2 papers)

In The Last Decade

Kimberly Ruiz

13 papers receiving 308 citations

Peers

Kimberly Ruiz
Comparison fields: 5 of 65
  • Endocrinology, Diabetes and Metabolism 121
  • Physiology 64
  • Orthopedics and Sports Medicine 51
  • Molecular Biology 45
  • Oncology 37
Replace Uma Sankar with:
Uma Sankar India
Stefaan Vancayzeele United States
Rajeev Bhardwaj India
Lucie‐Marie Scailteux France
Azzour D. Hazzan United States
Per-Olof Thuresson Switzerland
Evelyn Sarnes United States
Moaath K. Mustafa Ali United States
P. Arlet France
Samra Abouchacra United Arab Emirates
Kimberly Ruiz relative to Uma Sankar India Uma Sankar's profile →
Citations per field
00.5×3.4×
Uma Sankar · 1×
Citations per year

Countries citing papers authored by Kimberly Ruiz

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Ruiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Ruiz

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 31
3 0
4 1
5 32
6 7
7 2
8 1
9 1
10 38
11 5
12 18
13 174
14 3
15 5

About Kimberly Ruiz

Kimberly Ruiz is a scholar working on Health Informatics, Family Practice and Hematology, having authored 15 papers that have together received 319 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (121 citations), Family Practice (14 citations) and Orthopedics and Sports Medicine (51 citations). Kimberly Ruiz has collaborated with scholars based in United States, United Arab Emirates and Lebanon. Frequent co-authors include Mark Aagren, Jonathan Bouchard, Stephen S. Johnston, Kristin D. Kistler, Nicole Fusco, Jennifer S. Graff, Reynold A. Panettieri, Jennifer Colby, Abhishek Kavati and Jonathan Corren. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Journal of Allergy and Clinical Immunology.

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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