Kimberly Green

1.5k total citations
58 papers, 1.0k citations indexed

About

Kimberly Green is a scholar working on Infectious Diseases, Molecular Biology and Pharmacology. According to data from OpenAlex, Kimberly Green has authored 58 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 12 papers in Molecular Biology and 11 papers in Pharmacology. Recurrent topics in Kimberly Green's work include HIV/AIDS Research and Interventions (15 papers), Plant and fungal interactions (11 papers) and Fungal Biology and Applications (11 papers). Kimberly Green is often cited by papers focused on HIV/AIDS Research and Interventions (15 papers), Plant and fungal interactions (11 papers) and Fungal Biology and Applications (11 papers). Kimberly Green collaborates with scholars based in United States, New Zealand and Germany. Kimberly Green's co-authors include Barry Scott, Dennis R. Burton, Wei-Ping Yang, Carlos F. Barbas, Yvonne Becker, Gerald McGwin, Cynthia Owsley, Daniel Berry, M. Becker and Kraemer D. Luks and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Kimberly Green

53 papers receiving 950 citations

Peers

Kimberly Green
Comparison fields: 5 of 128
  • Molecular Biology 320
  • Radiology, Nuclear Medicine and Imaging 246
  • Infectious Diseases 181
  • Epidemiology 178
  • Plant Science 136
Heather Jones United States
Michael McCarthy United States
Maria José González Spain
Eric J. Haas United States
Kati Turner Australia
Peter Hull Canada
Jennifer Moore United States
Siaw Shi Boon Hong Kong
Heather Jones United States View profile →
Citations per field, relative to Kimberly Green
Kimberly Green · 1×
Citations per year, relative to Kimberly Green
Kimberly Green · 1×

Countries citing papers authored by Kimberly Green

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimberly Green

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly Green. A scholar is included among the top collaborators of Kimberly Green 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 Green. Kimberly Green 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
# Work Indexed citations
1 0
2 1
3 1
4 1
5 0
6 6
7 8
8 0
9 15
10 5
11 7
12 16
13 12
14 23
15 35
16
Assessing and refining group take-home exams as authentic, effective learning experiences
3
17 8
18 33
19 44
20 16

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026