Darius Pranys

1.2k total citations
33 papers, 859 citations indexed

About

Darius Pranys is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Darius Pranys has authored 33 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 12 papers in Pulmonary and Respiratory Medicine and 10 papers in Surgery. Recurrent topics in Darius Pranys's work include Pancreatic and Hepatic Oncology Research (5 papers), Heavy Metal Exposure and Toxicity (5 papers) and Colorectal Cancer Surgical Treatments (4 papers). Darius Pranys is often cited by papers focused on Pancreatic and Hepatic Oncology Research (5 papers), Heavy Metal Exposure and Toxicity (5 papers) and Colorectal Cancer Surgical Treatments (4 papers). Darius Pranys collaborates with scholars based in Lithuania, Netherlands and United Kingdom. Darius Pranys's co-authors include Eglė Monastyreckienė, Edgaras Stankevıčıus, Rimtautas Gudas, Skaidrius Miliauskas, Marius Žemaitis, Raimundas Sakalauskas, Brigita Šitkauskienė, Romas Jonas Kalesinskas, Lina Poškienė and Loreta Strumylaitė and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Epidemiology.

In The Last Decade

Darius Pranys

33 papers receiving 834 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darius Pranys Lithuania 14 299 274 209 173 155 33 859
Marian Danilewicz Poland 18 226 0.8× 195 0.7× 211 1.0× 271 1.6× 321 2.1× 166 1.3k
Zhi Hu China 17 148 0.5× 269 1.0× 63 0.3× 112 0.6× 166 1.1× 46 793
Federica Pedica Italy 17 379 1.3× 375 1.4× 83 0.4× 44 0.3× 136 0.9× 55 933
Ling Lv China 19 125 0.4× 137 0.5× 99 0.5× 282 1.6× 333 2.1× 57 1.0k
Vuddhidej Ophascharoensuk Thailand 7 123 0.4× 109 0.4× 356 1.7× 109 0.6× 347 2.2× 20 942
K. P. H. Pritzker Canada 16 134 0.4× 165 0.6× 340 1.6× 90 0.5× 238 1.5× 37 1.0k
Zhiwei Dong China 8 189 0.6× 469 1.7× 40 0.2× 56 0.3× 263 1.7× 10 972
B.F. Boyce United Kingdom 14 233 0.8× 62 0.2× 83 0.4× 40 0.2× 127 0.8× 25 681
Banu Doğan Gün Türkiye 15 89 0.3× 237 0.9× 41 0.2× 123 0.7× 129 0.8× 62 740
Jinghong Dai China 19 89 0.3× 78 0.3× 122 0.6× 113 0.7× 279 1.8× 63 1.2k

Countries citing papers authored by Darius Pranys

Since Specialization
Citations

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

Fields of papers citing papers by Darius Pranys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darius Pranys

This figure shows the co-authorship network connecting the top 25 collaborators of Darius Pranys. A scholar is included among the top collaborators of Darius Pranys 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 Darius Pranys. Darius Pranys 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.
Pranys, Darius, et al.. (2022). Fatal pulmonary tumour thrombotic microangiopathy in patient with ovarian adenocarcinoma: review and a case report. BMC Cardiovascular Disorders. 22(1). 1–1. 17 indexed citations
2.
Strumylaitė, Loreta, et al.. (2019). Cadmium Exposure and Risk of Breast Cancer by Histological and Tumor Receptor Subtype in White Caucasian Women: A Hospital-Based Case-Control Study. International Journal of Molecular Sciences. 20(12). 3029–3029. 26 indexed citations
3.
Ignatavičius, Povilas, et al.. (2018). Long-term Survival of Patient with Ampulla of Vater Metastasis of Renal Cell Carcinoma. Prague Medical Report. 119(4). 165–169. 6 indexed citations
4.
Bunevičius, Adomas, et al.. (2018). Atypical Teratoid/Rhabdoid Tumor After In Vitro Fertilization: Illustrative Case Report and Systematic Literature Review. World Neurosurgery. 113. 129–134. 3 indexed citations
5.
Žemaitis, Marius, et al.. (2018). Distribution of M1 and M2 macrophages in tumor islets and stroma in relation to prognosis of non-small cell lung cancer. BMC Immunology. 19(1). 3–3. 194 indexed citations
6.
7.
Barauskas, Giedrius, et al.. (2016). Preoperative Endoscopic Biliary Drainage May Negatively Impact Survival Following Pancreatoduodenectomy for Ampullary Cancer. Digestive Surgery. 33(6). 462–469. 8 indexed citations
8.
Gulbinas, Antanas, et al.. (2015). Factors Influencing Survival after Pancreatoduodenectomy for Ductal Adenocarcinoma Depend on Patients' Age. Digestive Surgery. 32(1). 60–67. 8 indexed citations
9.
Strumylaitė, Loreta, Stephen J. Sharp, Rima Kregždytė, et al.. (2015). The Association of Low-To-Moderate Alcohol Consumption with Breast Cancer Subtypes Defined by Hormone Receptor Status. PLoS ONE. 10(12). e0144680–e0144680. 10 indexed citations
10.
Žemaitis, Marius, Darius Pranys, Brigita Šitkauskienė, et al.. (2015). The prognostic influence of tumor infiltrating Foxp3+CD4+, CD4+ and CD8+ T cells in resected non-small cell lung cancer. Journal of Inflammation. 12(1). 63–63. 45 indexed citations
11.
12.
Strumylaitė, Loreta, et al.. (2014). Association between cadmium and breast cancer risk according to estrogen receptor and human epidermal growth factor receptor 2: epidemiological evidence. Breast Cancer Research and Treatment. 145(1). 225–232. 42 indexed citations
13.
Strumylaitė, Loreta, et al.. (2010). Cadmium concentration in biological media of breast cancer patients. Breast Cancer Research and Treatment. 125(2). 511–517. 69 indexed citations
14.
Saladžinskas, Žilvinas, Algimantas Tamelis, Saulius Paškauskas, Darius Pranys, & Dainius Pavalkis. (2010). Facial skin metastasis of colorectal cancer: a case report. Cases Journal. 3(1). 28–28. 14 indexed citations
15.
Latkauskas, Tadas, et al.. (2010). Lymph node retrieval after resection of rectal cancer following preoperative chemoradiotherapy. Medicina. 46(5). 299–299. 7 indexed citations
16.
Švagždys, Saulius, Vaiva Lesauskaitė, Dainius Pavalkis, et al.. (2009). Microvessel density as new prognostic marker after radiotherapy in rectal cancer. BMC Cancer. 9(1). 95–95. 49 indexed citations
17.
Barauskas, Giedrius, Antanas Gulbinas, Darius Pranys, Žilvinas Dambrauskas, & Juozas Pundzius. (2008). Tumor-related factors and patient’s age influence survival after resection for ampullary adenocarcinoma. Journal of Hepato-Biliary-Pancreatic Surgery. 15(4). 423–428. 22 indexed citations
18.
Venclauskas, Linas, Žilvinas Saladžinskas, Algimantas Tamelis, Darius Pranys, & Dainius Pavalkis. (2008). Mucinous adenocarcinoma arising in an anorectal fistula. Medicina. 45(4). 286–286. 12 indexed citations
19.
Saburkina, Inga, et al.. (2005). [Distribution of the epicardiac neural ganglia in human fetuses of different age].. PubMed. 41(11). 936–48. 2 indexed citations
20.
Pavalkis, Dainius, et al.. (1978). [Effective treatment of several types of fibromatosis with progesterone. Fibrous mediastinitis, desmoid tumors, paraneoplastic fibrosis].. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 38(2). 123–32. 7 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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