Ahu Turkoz

875 total citations
9 papers, 652 citations indexed

About

Ahu Turkoz is a scholar working on Dermatology, Molecular Biology and Oncology. According to data from OpenAlex, Ahu Turkoz has authored 9 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Dermatology, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Ahu Turkoz's work include Dermatology and Skin Diseases (4 papers), Allergic Rhinitis and Sensitization (3 papers) and Asthma and respiratory diseases (3 papers). Ahu Turkoz is often cited by papers focused on Dermatology and Skin Diseases (4 papers), Allergic Rhinitis and Sensitization (3 papers) and Asthma and respiratory diseases (3 papers). Ahu Turkoz collaborates with scholars based in United States, Russia and Ireland. Ahu Turkoz's co-authors include Raphael Kopan, Shadmehr Demehri, Sindhu Manivasagam, Mustafa Turkoz, Laura J. Yockey, Lynn A. Cornelius, Zhenyi Liu, Erin N. Jackson, David Piwnica‐Worms and Joseph C. Corbo and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Cancer Cell.

In The Last Decade

Ahu Turkoz

8 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ahu Turkoz United States	7	280	242	127	109	104	9	652
Susanne Stemmler Germany	14	127 0.5×	143 0.6×	153 1.2×	100 0.9×	53 0.5×	28	638
JH Choi South Korea	12	159 0.6×	101 0.4×	98 0.8×	87 0.8×	33 0.3×	21	510
Michiko Tojo Japan	14	236 0.8×	113 0.5×	48 0.4×	74 0.7×	50 0.5×	20	480
Hajimu Oura Japan	12	284 1.0×	180 0.7×	129 1.0×	45 0.4×	51 0.5×	18	585
Ele Prans Estonia	17	264 0.9×	81 0.3×	106 0.8×	236 2.2×	61 0.6×	38	740
Lin Gao China	17	177 0.6×	214 0.9×	116 0.9×	256 2.3×	38 0.4×	41	669
Man-Ru Liu China	7	292 1.0×	211 0.9×	125 1.0×	449 4.1×	62 0.6×	7	1.1k
Mari Higashiyama Japan	13	91 0.3×	94 0.4×	78 0.6×	149 1.4×	41 0.4×	35	481
S. Yamamoto Japan	17	172 0.6×	179 0.7×	92 0.7×	325 3.0×	52 0.5×	38	766
Guolin Tan China	18	296 1.1×	170 0.7×	108 0.9×	61 0.6×	44 0.4×	66	1.0k

Countries citing papers authored by Ahu Turkoz

Since Specialization

Citations

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

Fields of papers citing papers by Ahu Turkoz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ahu Turkoz

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Yang, Zhifen, Lingyu Li, Ahu Turkoz, et al.. (2020). Contextual Reprogramming of CAR-T Cells for Treatment of HER2+ Cancers. SSRN Electronic Journal. 2 indexed citations

2.

Yang, Zhifen, Lingyu Li, Ahu Turkoz, et al.. (2020). 142 Contextual reprogramming of CAR T cells for the treatment of HER2-expressing cancers. SHILAP Revista de lepidopterología. A86.2–A87.

3.

Tabacchi, Mary, Sara Moradi Tuchayi, Sindhu Manivasagam, et al.. (2016). Randomized trial of calcipotriol combined with 5-fluorouracil for skin cancer precursor immunotherapy. Journal of Clinical Investigation. 127(1). 106–116. 117 indexed citations

4.

Demehri, Shadmehr, Laura J. Yockey, Cynthia M. Visness, et al.. (2014). Circulating TSLP associates with decreased wheezing in non‐atopic preschool children: data from the URECA birth cohort. Clinical & Experimental Allergy. 44(6). 851–857. 10 indexed citations

5.

Yockey, Laura J., Shadmehr Demehri, Mustafa Turkoz, et al.. (2013). The Absence of a Microbiota Enhances TSLP Expression in Mice with Defective Skin Barrier but Does Not Affect the Severity of their Allergic Inflammation. Journal of Investigative Dermatology. 133(12). 2714–2721. 27 indexed citations

6.

Zhao, Zhongqiu, Fu‐Quan Huo, Joseph Jeffry, et al.. (2013). Chronic itch development in sensory neurons requires BRAF signaling pathways. Journal of Clinical Investigation. 123(11). 4769–4780. 85 indexed citations

7.

Demehri, Shadmehr, Ahu Turkoz, Sindhu Manivasagam, et al.. (2012). Elevated Epidermal Thymic Stromal Lymphopoietin Levels Establish an Antitumor Environment in the Skin. Cancer Cell. 22(4). 494–505. 101 indexed citations

8.

Liu, Zhenyi, Ahu Turkoz, Erin N. Jackson, et al.. (2011). Notch1 loss of heterozygosity causes vascular tumors and lethal hemorrhage in mice. Journal of Clinical Investigation. 121(2). 800–808. 97 indexed citations

9.

Demehri, Shadmehr, Ahu Turkoz, & Raphael Kopan. (2009). Epidermal Notch1 Loss Promotes Skin Tumorigenesis by Impacting the Stromal Microenvironment. Cancer Cell. 16(1). 55–66. 213 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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