Kimberly E. Lind

908 citations
48 papers · 572 · h-index 16

Impact in

Papers in

Kimberly E. Lind

45 papers receiving 559 citations

Peers

Kimberly E. Lind
Comparison fields: 5 of 94
  • Geriatrics and Gerontology 56
  • Periodontics 44
  • Applied Microbiology and Biotechnology 12
  • General Health Professions 144
  • Radiology, Nuclear Medicine and Imaging 129
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Countries citing papers authored by Kimberly E. Lind

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly E. Lind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201749
2 201648
3 201644
4 202034
5 201826
6 201925
7 202124
8 201723
9 201621
10 201821
11 201820
12 201419
13 202118
14 201917
15 201817
16 201315
17 202015
18
3D Morphometric Analysis of Normal Sacroiliac Joints: A New Classification of Surface Shape Variation and the Potential Implications in Pain Syndromes.
201714
19 201912
20 201912

About Kimberly E. Lind

Kimberly E. Lind is a scholar working on General Health Professions, Radiology, Nuclear Medicine and Imaging, Public Health, Environmental and Occupational Health, Surgery and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 572 indexed citations. Recurring topics across this work include Radiology practices and education (4 papers), Radiation Dose and Imaging (4 papers), Primary Care and Health Outcomes (4 papers), Dental Health and Care Utilization (4 papers), Geriatric Care and Nursing Homes (4 papers), Pharmaceutical Practices and Patient Outcomes (3 papers), Health Promotion and Cardiovascular Prevention (3 papers) and Musculoskeletal pain and rehabilitation (3 papers). The work is most often cited by research in Geriatrics and Gerontology (56 citations), Periodontics (44 citations), Applied Microbiology and Biotechnology (12 citations), General Health Professions (144 citations) and Radiology, Nuclear Medicine and Imaging (129 citations). Kimberly E. Lind has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Johanna Westbrook, Andrew Georgiou, Magdalena Z. Raban, Kerry L. Hildreth, Marcelo Coca Perraillon, Mikaela Jorgensen, Gerald D. Dodd, Lori A. Crane, James P. Borgstede and Elaine H. Morrato. Their work appears in journals such as Journal of the American College of Radiology, Australasian Journal on Ageing, Radiology, Abdominal Radiology and Medical Care.

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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