Kayla McEnery

494 total citations
9 papers, 401 citations indexed

About

Kayla McEnery is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Kayla McEnery has authored 9 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Oncology. Recurrent topics in Kayla McEnery's work include Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). Kayla McEnery is often cited by papers focused on Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). Kayla McEnery collaborates with scholars based in United States and China. Kayla McEnery's co-authors include Jun Wei, Amy B. Heimberger, Gregory N. Fuller, Wei Qiao, Krishan R. Jethwa, Frederick F. Lang, Olsi Gjyshi, Ganesh Rao, Sherise D. Ferguson and Nicholas B. Levine and has published in prestigious journals such as Cancer Research, Kidney International and Infection and Immunity.

In The Last Decade

Kayla McEnery

9 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kayla McEnery United States	8	233	133	79	75	42	9	401
Ashwini Kumar Sharma Germany	9	260 1.1×	164 1.2×	63 0.8×	79 1.1×	22 0.5×	13	441
Joseph R. Boyd United States	14	394 1.7×	140 1.1×	45 0.6×	101 1.3×	34 0.8×	29	529
Mansi Shah United States	12	231 1.0×	108 0.8×	110 1.4×	161 2.1×	45 1.1×	24	483
Panagiotis Chouvardas Switzerland	12	189 0.8×	85 0.6×	88 1.1×	88 1.2×	20 0.5×	28	361
Nahoko Tomonobu Japan	9	184 0.8×	80 0.6×	104 1.3×	104 1.4×	23 0.5×	24	350
Noga Bloushtain-Qimron United States	7	258 1.1×	130 1.0×	52 0.7×	137 1.8×	28 0.7×	8	375
Chun‐Wai Ko Hong Kong	8	154 0.7×	133 1.0×	59 0.7×	176 2.3×	21 0.5×	10	344
Angelique Lin United States	5	331 1.4×	77 0.6×	60 0.8×	70 0.9×	55 1.3×	6	418
Arun Shastry India	11	196 0.8×	59 0.4×	94 1.2×	69 0.9×	45 1.1×	18	330
Benedikt Bosbach United States	9	260 1.1×	68 0.5×	77 1.0×	86 1.1×	36 0.9×	12	501

Countries citing papers authored by Kayla McEnery

Since Specialization

Citations

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

Fields of papers citing papers by Kayla McEnery

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayla McEnery

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

All Works

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9 of 9 papers shown

McEnery, Kayla, et al.. (2018). Performance of Risk Assessment Models for Peripartum Thromboprophylaxis. Reproductive Sciences. 26(9). 1243–1248. 11 indexed citations

Lu, Dongmei, Binghua Li, Chongyu Ren, et al.. (2016). Loss of Glis2/NPHP7 causes kidney epithelial cell senescence and suppresses cyst growth in the Kif3a mouse model of cystic kidney disease. Kidney International. 89(6). 1307–1323. 33 indexed citations

Ren, Chongyu, Dongmei Lu, Binghua Li, et al.. (2015). Hedgehog signaling indirectly affects tubular cell survival after obstructive kidney injury. American Journal of Physiology-Renal Physiology. 309(9). F770–F778. 31 indexed citations

Wei, Jun, Fei Wang, Ling-Yuan Kong, et al.. (2013). miR-124 Inhibits STAT3 Signaling to Enhance T Cell–Mediated Immune Clearance of Glioma. Cancer Research. 73(13). 3913–3926. 209 indexed citations

Wei, Jun, Ling‐Yuan Kong, Fei Wang, et al.. (2013). Abstract B62: miR-124 systemically enhances antitumor clearance by inhibiting STAT3 signaling and reversing glioma-associated immune suppression.. Cancer Research. 73(1_Supplement). B62–B62. 1 indexed citations

Hoose, Scott A., Juan Pablo Robles, David W. Taylor, et al.. (2012). A Systematic Analysis of Cell Cycle Regulators in Yeast Reveals That Most Factors Act Independently of Cell Size to Control Initiation of Division. PLoS Genetics. 8(3). e1002590–e1002590. 38 indexed citations

Jethwa, Krishan R., Jun Wei, Kayla McEnery, & Amy B. Heimberger. (2011). miRNA-mediated immune regulation and immunotherapeutic potential in glioblastoma. Clinical Investigation. 1(12). 1637–1650. 10 indexed citations

Hatiboğlu, Mustafa Aziz, Ling‐Yuan Kong, Jun Wei, et al.. (2011). The tumor microenvironment expression of p‐STAT3 influences the efficacy of cyclophosphamide with WP1066 in murine melanoma models. International Journal of Cancer. 131(1). 8–17. 33 indexed citations

Zhang, Minjie, Kwang J. Kim, Dinakar Iyer, et al.. (1997). Effects of Mycobacterium tuberculosis on the bioelectric properties of the alveolar epithelium. Infection and Immunity. 65(2). 692–698. 35 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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