Kimberly M. Davis

3.6k citations
57 papers · 2.7k indexed · 1 hit paper · h-index 23
Topics
Yersinia bacterium, plague, ectoparasites research (12 papers)Patient-Provider Communication in Healthcare (10 papers)Cancer survivorship and care (8 papers)
Partner nations
United StatesJapanCanada

In The Last Decade

Kimberly M. Davis

53 papers receiving 2.7k citations

Hit Papers

Recognition of peptidoglycan from the microbiota by Nod1 ...20102026201520202010250500750

Peers

Kimberly M. Davis
Comparison fields: 5 of 156
  • Molecular Biology 918
  • Immunology 588
  • Epidemiology 473
  • Oncology 388
  • Infectious Diseases 351
Replace Mariam Quiñones with:
Mariam Quiñones United States
Caitlin A. Brennan United States
Katherine P. Lemon United States
Allyson L. Byrd United States
Julia Oh United States
Jacob Simonsen Denmark
Arya Khosravi United States
Elisabetta Caselli Italy
Katrine Whiteson United States
David T. Pride United States
Kimberly M. Davis relative to Mariam Quiñones United States Mariam Quiñones's profile →
Citations per field
00.5×2.6×
Mariam Quiñones · 1×
Citations per year

Countries citing papers authored by Kimberly M. Davis

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly M. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly M. Davis

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 14
4 1
5 26
6 1
7 1
8 3
9 12
10 17
11 10
12 20
13 16
14 9
15 92
16 53
17 220
18
Recognition of peptidoglycan from the microbiota by Nod1 enhances systemic innate immunitybreakdown →
901
19 18
20 41

About Kimberly M. Davis

Kimberly M. Davis is a scholar working on Endocrinology, Molecular Medicine and Architecture, having authored 57 papers that have together received 2.7k indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (12 papers), Patient-Provider Communication in Healthcare (10 papers) and Cancer survivorship and care (8 papers). The work is most often cited by research in Endocrinology (192 citations), Microbiology (173 citations) and Immunology (588 citations). Kimberly M. Davis has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Jeffrey N. Weiser, Yimin Yu, Thomas B. Clarke, Alice Y. Zhou, S. E. Lysenko, Shigeki Nakamura, Ralph R. Isberg, Kathryn L. Taylor, Sina Mohammadi and David Cella. Their work appears in journals such as Journal of Clinical Investigation, Nature Medicine and Journal of Clinical Oncology.

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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