Julie K. Allen

1.1k total citations
8 papers, 286 citations indexed

About

Julie K. Allen is a scholar working on Psychiatry and Mental health, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Julie K. Allen has authored 8 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Psychiatry and Mental health, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Julie K. Allen's work include Cancer, Stress, Anesthesia, and Immune Response (4 papers), Nanoplatforms for cancer theranostics (2 papers) and Stress Responses and Cortisol (1 paper). Julie K. Allen is often cited by papers focused on Cancer, Stress, Anesthesia, and Immune Response (4 papers), Nanoplatforms for cancer theranostics (2 papers) and Stress Responses and Cortisol (1 paper). Julie K. Allen collaborates with scholars based in United States, Australia and Puerto Rico. Julie K. Allen's co-authors include Anil K. Sood, Mian M.K. Shahzad, Guillermo N. Armaiz-Peña, Rebecca L. Stone, Lingegowda S. Mangala, Myrthala Moreno‐Smith, Alpa M. Nick, Chunhua Lu, Charles N. Landen and D. B. Farley and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Julie K. Allen

7 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julie K. Allen United States	4	144	65	60	57	49	8	286
Yuetao Wen China	12	152 1.1×	45 0.7×	36 0.6×	19 0.3×	117 2.4×	28	342
Pierre‐Marie Martin United States	8	169 1.2×	16 0.2×	106 1.8×	56 1.0×	27 0.6×	13	283
Tejal P. Suthar India	11	205 1.4×	43 0.7×	98 1.6×	19 0.3×	60 1.2×	15	404
Patricia Fernández‐Nogueira Spain	9	183 1.3×	34 0.5×	108 1.8×	98 1.7×	50 1.0×	13	357
Batoul Baz Saudi Arabia	10	124 0.9×	24 0.4×	30 0.5×	13 0.2×	37 0.8×	19	273
Mariane da Cunha Jaeger Brazil	12	239 1.7×	27 0.4×	105 1.8×	20 0.4×	44 0.9×	34	429
Pascale Lévy France	8	98 0.7×	77 1.2×	17 0.3×	27 0.5×	26 0.5×	12	281
Milan Obradović Switzerland	3	116 0.8×	38 0.6×	8 0.1×	78 1.4×	53 1.1×	5	320
Jaime Martínez de Villarreal Spain	12	216 1.5×	27 0.4×	85 1.4×	11 0.2×	36 0.7×	21	413
Soon-Tae You South Korea	9	145 1.0×	26 0.4×	27 0.5×	14 0.2×	31 0.6×	12	351

Countries citing papers authored by Julie K. Allen

Since Specialization

Citations

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

Fields of papers citing papers by Julie K. Allen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie K. Allen

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

All Works

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8 of 8 papers shown

Moreno‐Smith, Myrthala, Chunhua Lu, Mian M.K. Shahzad, et al.. (2021). Editor's Note: Dopamine Blocks Stress-mediated Ovarian Carcinoma Growth. Clinical Cancer Research. 27(15). 4451–4451. 1 indexed citations

Hu, Jie, Wei Hao, Nathan Airhart, et al.. (2015). Postnatal Deletion of the Type II Transforming Growth Factor-β Receptor in Smooth Muscle Cells Causes Severe Aortopathy in Mice. Arteriosclerosis Thrombosis and Vascular Biology. 35(12). 2647–2656. 75 indexed citations

Nagaraja, Archana S., Guillermo N. Armaiz-Peña, Julie K. Allen, et al.. (2014). Abstract 158: Sustained adrenergic signaling activates pro-inflammatory networks in ovarian carcinoma. Cancer Research. 74(19_Supplement). 158–158. 1 indexed citations

Armaiz-Peña, Guillermo N., Archana S. Nagaraja, Julie K. Allen, et al.. (2014). Abstract 1062: Sustained adrenergic signaling promotes intratumoral innervation through BDNF induction. Cancer Research. 74(19_Supplement). 1062–1062.

Moreno‐Smith, Myrthala, Chunhua Lü, Mian M.K. Shahzad, et al.. (2011). Dopamine Blocks Stress-Mediated Ovarian Carcinoma Growth. Clinical Cancer Research. 17(11). 3649–3659. 92 indexed citations

Armaiz-Peña, Guillermo N., Rebecca L. Stone, Alpa M. Nick, et al.. (2011). 89. Src activation by beta adrenoreceptors is a key switch for microenvironmental regulation of tumor metastasis. Brain Behavior and Immunity. 25. S204–S204. 2 indexed citations

Lu, Chunhua, Mian M.K. Shahzad, Myrthala Moreno‐Smith, et al.. (2010). Targeting pericytes with a PDGF-B aptamer in human ovarian carcinoma models. Cancer Biology & Therapy. 9(3). 176–182. 66 indexed citations

Lu, Chunhua, Mian M.K. Shahzad, Hua Wang, et al.. (2008). EphA2 overexpression promotes ovarian cancer growth. Cancer Biology & Therapy. 7(7). 1098–1103. 49 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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