Kristine A. Willis

8 papers receiving 606 citations

Hit Papers

Topic choice contributes to the lower rate of NIH awards ...20192026202120232019100200300

Peers

Kristine A. Willis
Comparison fields: 5 of 102
  • Molecular Biology 227
  • Gender Studies 153
  • Public Health, Environmental and Occupational Health 134
  • General Health Professions 74
  • Sociology and Political Science 69
Replace Rebecca A. Meseroll with:
Rebecca A. Meseroll United States
María E. González United States
Camille A. Martina United States
Nidhi Subbaraman India
Rosalina D. James United States
Anne Wagner Canada
Siân Thomas United Kingdom
Todd Cassese United States
Stephanie Loo United States
Amy L. Mitchell United States
Kristine A. Willis relative to Rebecca A. Meseroll United States Rebecca A. Meseroll's profile →
Citations per field
00.5×1.5×
Rebecca A. Meseroll · 1×
Citations per year

Countries citing papers authored by Kristine A. Willis

Since Specialization
Citations

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

Fields of papers citing papers by Kristine A. Willis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kristine A. Willis. 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 Kristine A. Willis. The network helps show where Kristine A. Willis may publish in the future.

Co-authorship network of co-authors of Kristine A. Willis

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2
Topic choice contributes to the lower rate of NIH awards to African-American/black scientistsbreakdown →
374
3 5
4 25
5 11
6 46
7 27
8 113
9 16

About Kristine A. Willis

Kristine A. Willis is a scholar working on Statistics, Probability and Uncertainty, Gender Studies and Molecular Biology, having authored 9 papers that have together received 617 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (4 papers) and Nuclear Structure and Function (3 papers). The work is most often cited by research in Gender Studies (153 citations), Emergency Medical Services (55 citations) and Statistics, Probability and Uncertainty (38 citations). Kristine A. Willis has collaborated with scholars based in United States, Canada and India. Frequent co-authors include George M. Santangelo, B. Ian Hutchins, James M. Anderson, Aviva Litovitz, Travis Hoppe, Michael S. Lauer, Alison F. Davis, Matthew J. Perkins, Hannah A. Valantine and Rebecca A. Meseroll. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Genetics.

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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