Nikol Mladkova

1.2k total citations
23 papers, 399 citations indexed

About

Nikol Mladkova is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nikol Mladkova has authored 23 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nikol Mladkova's work include Glioma Diagnosis and Treatment (5 papers), Head and Neck Cancer Studies (4 papers) and Ferroptosis and cancer prognosis (2 papers). Nikol Mladkova is often cited by papers focused on Glioma Diagnosis and Treatment (5 papers), Head and Neck Cancer Studies (4 papers) and Ferroptosis and cancer prognosis (2 papers). Nikol Mladkova collaborates with scholars based in United States, United Kingdom and Iran. Nikol Mladkova's co-authors include Mohammad Ghasemi-rad, Arnab Chakravarti, Catherine Harwood, Irene M. Leigh, Karin J. Purdie, Charlotte M. Proby, Behzad Narouie, Zahra Zakeri, S. Lambert and R. Cerio and has published in prestigious journals such as Journal of Clinical Oncology, Hepatology and Oncogene.

In The Last Decade

Nikol Mladkova

21 papers receiving 392 citations

Peers

Nikol Mladkova
Monika Edelbauer Austria
Amandine Charras United Kingdom
Gerasimos Evangelatos Greece
Thomas Kühr Austria
P. Rogers United Kingdom
Mujun Lu China
Anna Olewicz‐Gawlik Poland
Silvana Capalbo Italy
A Ferster Belgium
Maciej Kinalski Poland
Monika Edelbauer Austria
Nikol Mladkova
Citations per year, relative to Nikol Mladkova Nikol Mladkova (= 1×) peers Monika Edelbauer

Countries citing papers authored by Nikol Mladkova

Since Specialization
Citations

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

Fields of papers citing papers by Nikol Mladkova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikol Mladkova

This figure shows the co-authorship network connecting the top 25 collaborators of Nikol Mladkova. A scholar is included among the top collaborators of Nikol Mladkova 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 Nikol Mladkova. Nikol Mladkova 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
1.
Shim, Tang Ngee, Karin J. Purdie, Nikol Mladkova, et al.. (2023). Is the presence of Merkel cell polyomavirus and human papillomavirus DNA in keratinocyte cancers and precancers associated with HIV status? A case–control study. Clinical and Experimental Dermatology. 49(3). 263–266.
2.
Klamer, Brett, Nikol Mladkova, George Laliotis, et al.. (2022). Update of a prognostic survival model in head and neck squamous cell carcinoma patients treated with immune checkpoint inhibitors using an expansion cohort. BMC Cancer. 22(1). 767–767. 4 indexed citations
3.
Connor, Michael, Arnold C. Paulino, Ralph P. Ermoian, et al.. (2021). Variability in Proton Craniospinal Irradiation Practices in the United States: A Pediatric Proton Consortium Registry (PPCR) Study. International Journal of Radiation Oncology*Biology*Physics. 111(3). e172–e173. 3 indexed citations
4.
5.
Mladkova, Nikol, Pierre Giglio, Ralph Salloum, Maryam Fouladi, & Joshua D. Palmer. (2021). Machine Learning-Based Prediction of Survival Outcome in Lower Grade Gliomas With Combined Clinical and DNA Methylation Data. International Journal of Radiation Oncology*Biology*Physics. 111(3). e115–e115. 1 indexed citations
6.
Klamer, Brett, Vidhya Karivedu, Priyanka Bhateja, et al.. (2021). Use of cetuximab added to weekly chemotherapy to improve progression-free survival in patients with recurrent metastatic head and neck squamous cell carcinoma after progression on immune checkpoint inhibitors.. Journal of Clinical Oncology. 39(15_suppl). 6038–6038. 4 indexed citations
7.
Purdie, Karin J., Jun Wang, Catherine Harwood, et al.. (2019). A Unique Panel of Patient-Derived Cutaneous Squamous Cell Carcinoma Cell Lines Provides a Preclinical Pathway for Therapeutic Testing. International Journal of Molecular Sciences. 20(14). 3428–3428. 19 indexed citations
8.
Cui, Tiantian, Erica H. Bell, Joseph P. McElroy, et al.. (2018). miR-4516 predicts poor prognosis and functions as a novel oncogene via targeting PTPN14 in human glioblastoma. Oncogene. 38(16). 2923–2936. 47 indexed citations
9.
Di, Chunhui, Nikol Mladkova, James C. Lin, et al.. (2017). AJAP1 expression modulates glioma cell motility and correlates with tumor growth and survival. International Journal of Oncology. 52(1). 47–54. 13 indexed citations
10.
Wu, Wei, Ami M. Patel, Kaisa Kyöstilä, et al.. (2016). Genome‐wide association study in mice identifies loci affecting liver‐related phenotypes including Sel1l influencing serum bile acids. Hepatology. 63(6). 1943–1956. 2 indexed citations
11.
Xie, Jingyuan, Krzysztof Kiryluk, Yifu Li, et al.. (2016). Fine Mapping Implicates a Deletion of CFHR1 and CFHR3 in Protection from IgA Nephropathy in Han Chinese. Journal of the American Society of Nephrology. 27(10). 3187–3194. 55 indexed citations
12.
Lambert, S., Nikol Mladkova, Abha Gulati, et al.. (2013). Key differences identified between actinic keratosis and cutaneous squamous cell carcinoma by transcriptome profiling. British Journal of Cancer. 110(2). 520–529. 75 indexed citations
13.
Mohammadi, Afshin, et al.. (2012). Evaluation of disease activity in ankylosing spondylitis; diagnostic value of color Doppler ultrasonography. Skeletal Radiology. 42(2). 219–224. 18 indexed citations
14.
Narouie, Behzad, et al.. (2012). Diagnostic Value of Adenosine Deaminase in Tuberculous Pleurisy. 2 indexed citations
15.
Mohammadi, Afshin, et al.. (2011). Lack of Utility of Transabdominal Ultrasound in the Detection of Gastroesophageal Reflux Disease-Induced Esophagitis in Comparison With Endoscopy. Ultrasound Quarterly. 27(2). 121–125. 2 indexed citations
16.
Zakeri, Zahra, et al.. (2011). Prevalence of depression and depressive symptoms in patients with systemic lupus erythematosus: Iranian experience. Rheumatology International. 32(5). 1179–1187. 53 indexed citations
17.
Ghasemi-rad, Mohammad, et al.. (2009). Diagnostic Value of Sonohysterography in the Determination of Fallopian Tube Patency as an Initial Step of Routine Infertility Assessment. Journal of Ultrasound in Medicine. 28(12). 1671–1677. 31 indexed citations
18.
Králíková, Eva, et al.. (2009). Postgraduate medical education on tobacco and smoking cessation in Europe. Drug and Alcohol Review. 28(5). 474–483. 14 indexed citations
19.
El‐Jawahri, Areej, Disha Patel, Min Zhang, Nikol Mladkova, & Arnab Chakravarti. (2008). Biomarkers of Clinical Responsiveness in Brain Tumor Patients. Molecular Diagnosis & Therapy. 12(4). 199–208. 9 indexed citations
20.
Mladkova, Nikol & Arnab Chakravarti. (2008). Molecular profiling in glioblastoma: Prelude to personalized treatment. Current Oncology Reports. 11(1). 53–61. 19 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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