N. Gavalas

442 total citations
9 papers, 337 citations indexed

About

N. Gavalas is a scholar working on Molecular Biology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, N. Gavalas has authored 9 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in N. Gavalas's work include Ovarian cancer diagnosis and treatment (2 papers), Berberine and alkaloids research (1 paper) and Autophagy in Disease and Therapy (1 paper). N. Gavalas is often cited by papers focused on Ovarian cancer diagnosis and treatment (2 papers), Berberine and alkaloids research (1 paper) and Autophagy in Disease and Therapy (1 paper). N. Gavalas collaborates with scholars based in Greece, Russia and United Kingdom. N. Gavalas's co-authors include Alexandros Rodolakis, Meletios Α. Dimopoulos, Nikolaos Thomakos, Aristotle Bamias, Dimitrios Haidopoulos, E. Helen Kemp, Anthony P. Weetman, Irene Cantón, P. F. Watson and Anne Blomhoff and has published in prestigious journals such as British Journal of Cancer, European Journal of Cancer and Clinical Endocrinology.

In The Last Decade

N. Gavalas

9 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
N. Gavalas Greece	7	166	120	92	49	48	9	337
Anal Desai United States	5	268 1.6×	46 0.4×	53 0.6×	34 0.7×	40 0.8×	5	412
Hyewon Park South Korea	13	312 1.9×	64 0.5×	182 2.0×	62 1.3×	45 0.9×	28	523
Judit López‐Luque Spain	8	179 1.1×	80 0.7×	95 1.0×	41 0.8×	44 0.9×	8	368
Sabrina Klotz Germany	4	251 1.5×	243 2.0×	115 1.3×	21 0.4×	19 0.4×	4	547
Ryan H. Livengood United States	8	172 1.0×	36 0.3×	83 0.9×	25 0.5×	68 1.4×	17	301
Caroline Choisy-Rossi France	8	189 1.1×	90 0.8×	139 1.5×	98 2.0×	12 0.3×	8	348
Eiko Saijou Japan	7	172 1.0×	85 0.7×	41 0.4×	21 0.4×	83 1.7×	10	376
K Yamanaka Japan	8	104 0.6×	66 0.6×	71 0.8×	27 0.6×	13 0.3×	17	316
Xuanfu Xu China	13	367 2.2×	64 0.5×	161 1.8×	31 0.6×	19 0.4×	19	499
Christine Rivat France	7	284 1.7×	143 1.2×	171 1.9×	35 0.7×	30 0.6×	7	503

Countries citing papers authored by N. Gavalas

Since Specialization

Citations

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

Fields of papers citing papers by N. Gavalas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Gavalas

This figure shows the co-authorship network connecting the top 25 collaborators of N. Gavalas. A scholar is included among the top collaborators of N. Gavalas 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 N. Gavalas. N. Gavalas 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

Papatsoris, Athanasios, Kimon Tzannis, N. Gavalas, et al.. (2020). A run-in phase clinical study for intravesical administration of durvalumab in patients with high-risk, non-muscle-invasive bladder cancer (NMIBC). European Urology Open Science. 19. e1177–e1178. 1 indexed citations

Bagratuni, Tina, N. Gavalas, Kimon Tzannis, et al.. (2020). JQ1 inhibits tumour growth in combination with cisplatin and suppresses JAK/STAT signalling pathway in ovarian cancer. European Journal of Cancer. 126. 125–135. 57 indexed citations

Bamias, Aristotelis, Vasilios Karavasilis, N. Gavalas, et al.. (2018). The combination of bevacizumab/temsirolimus after first-line anti-VEGF therapy in advanced renal-cell carcinoma: a clinical and biomarker study. International Journal of Clinical Oncology. 24(4). 411–419. 6 indexed citations

Gavalas, N., et al.. (2018). Berberine Effects on NFκB, HIF1A and NFE2L2/AP-1 Pathways in HeLa Cells. Anti-Cancer Agents in Medicinal Chemistry. 19(4). 487–501. 8 indexed citations

Rodolakis, Alexandros, et al.. (2015). Molecular aspects and clinical methods for preserving ovarian reserves in women receiving cancer treatment. Clinical and Experimental Obstetrics & Gynecology. 42(4). 416–425. 2 indexed citations

Gavalas, N., Marinos Tsiatas, Ourania Tsitsilonis, et al.. (2012). VEGF directly suppresses activation of T cells from ascites secondary to ovarian cancer via VEGF receptor type 2. British Journal of Cancer. 107(11). 1869–1875. 129 indexed citations

Tzanela, Marinella, et al.. (2011). Glucose homeostasis in patients with acromegaly treated with surgery or somatostatin analogues. Clinical Endocrinology. 75(1). 96–102. 30 indexed citations

Tzanela, Marinella, et al.. (2007). The aldosterone to renin ratio in the evaluation of patients with incidentally detected adrenal masses. Endocrine. 32(2). 136–142. 7 indexed citations

Cantón, Irene, N. Gavalas, David J. Gawkrodger, et al.. (2005). A single-nucleotide polymorphism in the gene encoding lymphoid protein tyrosine phosphatase (PTPN22) confers susceptibility to generalised vitiligo. Genes and Immunity. 6(7). 584–587. 97 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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