Kim M. Newkirk

1.6k citations
59 papers · 1.1k indexed · h-index 17

Kim M. Newkirk

56 papers receiving 989 citations

Peers

Kim M. Newkirk
Comparison fields: 5 of 112
  • Equine 42
  • Oral Surgery 114
  • Small Animals 93
  • Rehabilitation 84
  • Urology 68
Replace Ralph A. Henderson with:
Ralph A. Henderson United States
Scott H. Schelling United States
Emanuele Ricci United Kingdom
Alexander M. Reiter United States
Dolors Fondevila Spain
Cheryl L. Swenson United States
P. Maisi Finland
Julie B. Engiles United States
Lieven Vlaminck Belgium
Elizabeth A. Mauldin United States
Kim M. Newkirk relative to Ralph A. Henderson United States Ralph A. Henderson's profile →
Citations per field
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Ralph A. Henderson · 1×
Citations per year

Countries citing papers authored by Kim M. Newkirk

Since Specialization
Citations

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

Fields of papers citing papers by Kim M. Newkirk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20225
4 202110
5 20190
6 20139
7 20125
8 201215
9 20124
10 20115
11 20112
12 20107
13 20103
14
Slug/Snai2 is a downstream mediator of epidermal growth factor receptor stimulated reepithelialization. Kusewitt D, Choi C, Newkirk K, Leroy P, Li Y, Chavez M, Hudson L
20095
15
Cutaneous Wound Reepithelialization is Compromised in Mice Lacking Functional Slug (Snai2). Hudson L, Newkirk K, Chandler H, Choi C, Fossey S, Parent A, Kusewitt D
20097
16 200919
17 200812
18 200852
19
Ultraviolet Radiation Exposure Induces Corneal Degeneration in 129 Mice. Newkirk K, Chandler H, Parent A, Young D, Colitz C, Wilkie D, Kusewitt D
20071
20 200716

About Kim M. Newkirk

Kim M. Newkirk is a scholar working on Equine, Small Animals and Dermatology, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Veterinary Oncology Research (13 papers), Veterinary Equine Medical Research (5 papers), Reproductive Physiology in Livestock (5 papers), Infectious Diseases and Mycology (5 papers), Fibroblast Growth Factor Research (4 papers), Virus-based gene therapy research (3 papers), Wound Healing and Treatments (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Equine (42 citations), Oral Surgery (114 citations) and Small Animals (93 citations). Kim M. Newkirk has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Donna F. Kusewitt, Heather L. Chandler, Allison E. Parent, Barton W. Rohrbach, Laurie G. Hudson, Changsun Choi, Roberto Tejero, S. Donald Emerson, G.T. Montelione and Wei Feng. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of 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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