Krista K. Ingram

5.2k total citations · 1 hit paper
38 papers, 3.7k citations indexed

About

Krista K. Ingram is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Endocrine and Autonomic Systems. According to data from OpenAlex, Krista K. Ingram has authored 38 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Ecology, Evolution, Behavior and Systematics, 17 papers in Genetics and 16 papers in Endocrine and Autonomic Systems. Recurrent topics in Krista K. Ingram's work include Circadian rhythm and melatonin (16 papers), Plant and animal studies (16 papers) and Insect and Arachnid Ecology and Behavior (15 papers). Krista K. Ingram is often cited by papers focused on Circadian rhythm and melatonin (16 papers), Plant and animal studies (16 papers) and Insect and Arachnid Ecology and Behavior (15 papers). Krista K. Ingram collaborates with scholars based in United States, Singapore and Malaysia. Krista K. Ingram's co-authors include Rudolf Meier, David J. Lohman, Peter K. L. Ng, Kevin Winker, David Bickford, Indraneil Das, Navjot S. Sodhi, Deborah M. Gordon, Peter J. Oefner and Allan Filipowicz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

Krista K. Ingram

36 papers receiving 3.6k citations

Hit Papers

Cryptic species as a wind... 2006 2026 2012 2019 2006 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Krista K. Ingram United States 21 1.5k 1.5k 1.0k 689 616 38 3.7k
Maren Wellenreuther New Zealand 32 1.7k 1.1× 849 0.6× 968 0.9× 767 1.1× 286 0.5× 108 3.2k
Paul Schmidt United States 37 1.9k 1.2× 1.2k 0.9× 1.6k 1.5× 639 0.9× 705 1.1× 79 4.0k
Emilie C. Snell‐Rood United States 26 1.3k 0.8× 2.0k 1.4× 1.0k 1.0× 306 0.4× 526 0.9× 79 3.5k
Masakado Kawata Japan 29 1.1k 0.7× 1.2k 0.8× 935 0.9× 434 0.6× 494 0.8× 155 2.8k
Christina M. Holzapfel United States 28 1.1k 0.7× 1.3k 0.9× 1.3k 1.2× 306 0.4× 524 0.9× 64 3.4k
Heidi S. Fisher United States 18 2.0k 1.3× 1.1k 0.8× 892 0.9× 945 1.4× 204 0.3× 35 3.8k
Kerry L. Shaw United States 34 2.4k 1.6× 2.6k 1.8× 725 0.7× 749 1.1× 644 1.0× 87 4.6k
Josh R. Auld United States 21 988 0.6× 1.8k 1.2× 997 1.0× 312 0.5× 235 0.4× 35 3.1k
Steph B. J. Menken Netherlands 33 975 0.6× 1.4k 1.0× 756 0.7× 416 0.6× 857 1.4× 126 3.5k
Miquel A. Arnedo Spain 32 2.2k 1.5× 1.0k 0.7× 512 0.5× 834 1.2× 243 0.4× 132 3.3k

Countries citing papers authored by Krista K. Ingram

Since Specialization
Citations

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

Fields of papers citing papers by Krista K. Ingram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Krista K. Ingram. 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 Krista K. Ingram. The network helps show where Krista K. Ingram may publish in the future.

Co-authorship network of co-authors of Krista K. Ingram

This figure shows the co-authorship network connecting the top 25 collaborators of Krista K. Ingram. A scholar is included among the top collaborators of Krista K. Ingram 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 Krista K. Ingram. Krista K. Ingram 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
3.
Mohamed, Wael, et al.. (2023). Machine learning analyses reveal circadian clock features predictive of anxiety among UK biobank participants. Scientific Reports. 13(1). 22304–22304. 3 indexed citations
4.
Ingram, Krista K., et al.. (2022). SEALNET: Facial recognition software for ecological studies of harbor seals. Ecology and Evolution. 12(5). e8851–e8851. 9 indexed citations
5.
Ingram, Krista K., et al.. (2022). Intra-individual impact of the COVID-19 pandemic on mental health and sleep in young adults. PLoS ONE. 17(10). e0276165–e0276165. 2 indexed citations
6.
Ay, Ahmet, et al.. (2022). Machine Learning Analyses Reveal Circadian Features Predictive of Risk for Sleep Disturbance. Nature and Science of Sleep. Volume 14. 1887–1900. 2 indexed citations
7.
Ay, Ahmet, et al.. (2022). Machine learning and expression analyses reveal circadian clock features predictive of anxiety. Scientific Reports. 12(1). 5508–5508. 9 indexed citations
8.
Filipowicz, Allan, et al.. (2020). Sleep Quality, Sleep Structure, and PER3 Genotype Mediate Chronotype Effects on Depressive Symptoms in Young Adults. Frontiers in Psychology. 11. 2028–2028. 25 indexed citations
9.
Filipowicz, Allan, et al.. (2019). Chronotype mediates gender differences in risk propensity and risk-taking. PLoS ONE. 14(5). e0216619–e0216619. 26 indexed citations
10.
Anderson, Sarah, et al.. (2019). In vivo molecular chronotyping, circadian misalignment, and high rates of depression in young adults. Journal of Affective Disorders. 250. 425–431. 35 indexed citations
11.
Ay, Ahmet, et al.. (2018). Modeling Strengthens Molecular Link between Circadian Polymorphisms and Major Mood Disorders. Journal of Biological Rhythms. 33(3). 318–336. 44 indexed citations
12.
Anderson, Austin, et al.. (2018). Circadian Effects on Performance and Effort in Collegiate Swimmers. SHILAP Revista de lepidopterología. 16(1). 8–8. 29 indexed citations
13.
Ingram, Krista K., Ahmet Ay, Soo Bin Kwon, et al.. (2016). Molecular insights into chronotype and time-of-day effects on decision-making. Scientific Reports. 6(1). 29392–29392. 38 indexed citations
14.
Ingram, Krista K., et al.. (2016). Nutrient stores predict task behaviors in diverse ant species. Insectes Sociaux. 63(2). 299–307. 15 indexed citations
15.
Ay, Ahmet, et al.. (2015). Diurnal Preference Predicts Phase Differences in Expression of Human Peripheral Circadian Clock Genes. SHILAP Revista de lepidopterología. 13. 4–4. 28 indexed citations
16.
Ingram, Krista K., Anna Pilko, Jeffrey Heer, & Deborah M. Gordon. (2013). Colony life history and lifetime reproductive success of red harvester ant colonies. Journal of Animal Ecology. 82(3). 540–550. 46 indexed citations
17.
Lohman, David J., Krista K. Ingram, Dewi M. Prawiradilaga, et al.. (2010). Cryptic genetic diversity in “widespread” Southeast Asian bird species suggests that Philippine avian endemism is gravely underestimated. Biological Conservation. 143(8). 1885–1890. 114 indexed citations
18.
Bickford, David, David J. Lohman, Navjot S. Sodhi, et al.. (2006). Cryptic species as a window on diversity and conservation. Trends in Ecology & Evolution. 22(3). 148–155. 2668 indexed citations breakdown →
19.
Ingram, Krista K., Peter J. Oefner, & Deborah M. Gordon. (2005). Task‐specific expression of the foraging gene in harvester ants. Molecular Ecology. 14(3). 813–818. 128 indexed citations
20.
Ingram, Krista K.. (2002). PLASTICITY IN QUEEN NUMBER AND SOCIAL STRUCTURE IN THE INVASIVE ARGENTINE ANT (LINEPITHEMA HUMILE). Evolution. 56(10). 2008–2008. 7 indexed citations

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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