Ivana Jochmanová

1.2k total citations
26 papers, 783 citations indexed

About

Ivana Jochmanová is a scholar working on Surgery, Cancer Research and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ivana Jochmanová has authored 26 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 14 papers in Cancer Research and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ivana Jochmanová's work include Cancer, Hypoxia, and Metabolism (14 papers), Adrenal and Paraganglionic Tumors (14 papers) and Hormonal Regulation and Hypertension (6 papers). Ivana Jochmanová is often cited by papers focused on Cancer, Hypoxia, and Metabolism (14 papers), Adrenal and Paraganglionic Tumors (14 papers) and Hormonal Regulation and Hypertension (6 papers). Ivana Jochmanová collaborates with scholars based in Slovakia, United States and Czechia. Ivana Jochmanová's co-authors include Karel Pacák, Zhengping Zhuang, Chunzhang Yang, Ivica Lazúrová, Katherine I. Wolf, Tamara Prodanov, Arthur S. Tischler, Leilani B Mercado-Asis, Ronald M. Lechan and Maria J. Merino and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Ivana Jochmanová

25 papers receiving 770 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivana Jochmanová Slovakia 17 493 474 354 119 106 26 783
Maria Adelaide A. Pereira Brazil 16 441 0.9× 638 1.3× 515 1.5× 153 1.3× 169 1.6× 36 1.0k
Lindsey Oudijk Netherlands 14 377 0.8× 444 0.9× 312 0.9× 97 0.8× 128 1.2× 31 691
Adam Stenman Sweden 17 223 0.5× 303 0.6× 578 1.6× 229 1.9× 63 0.6× 51 934
Linda W.C. Ng Hong Kong 9 181 0.4× 241 0.5× 138 0.4× 107 0.9× 29 0.3× 11 452
Ulla Enberg Sweden 11 192 0.4× 247 0.5× 230 0.6× 152 1.3× 21 0.2× 14 533
Marine Guillaud-Bataille France 15 254 0.5× 285 0.6× 166 0.5× 365 3.1× 101 1.0× 27 781
K. W. Schmid Germany 17 135 0.3× 205 0.4× 262 0.7× 219 1.8× 20 0.2× 37 816
Fukang Sun China 13 296 0.6× 267 0.6× 191 0.5× 224 1.9× 30 0.3× 48 556
Claudio De Vito Switzerland 15 227 0.5× 184 0.4× 108 0.3× 358 3.0× 22 0.2× 42 824
Christina Tatsi United States 15 62 0.1× 273 0.6× 403 1.1× 135 1.1× 52 0.5× 45 600

Countries citing papers authored by Ivana Jochmanová

Since Specialization
Citations

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

Fields of papers citing papers by Ivana Jochmanová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivana Jochmanová

This figure shows the co-authorship network connecting the top 25 collaborators of Ivana Jochmanová. A scholar is included among the top collaborators of Ivana Jochmanová 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 Ivana Jochmanová. Ivana Jochmanová 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.
Majerčák, Ivan, et al.. (2025). Age, Sex, and Central Adiposity as Determinants of Autonomic Nervous System Reactivity in Adults. Medicina. 61(9). 1682–1682.
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Jochmanová, Ivana, Robert Wesley, Melissa Gonzales, et al.. (2020). Clinical characteristics and outcomes of SDHB-related pheochromocytoma and paraganglioma in children and adolescents. Journal of Cancer Research and Clinical Oncology. 146(4). 1051–1063. 26 indexed citations
5.
Caisová, Veronika, Pavla Nedbalová, Ivana Jochmanová, et al.. (2018). Effective cancer immunotherapy based on combination of TLR agonists with stimulation of phagocytosis. International Immunopharmacology. 59. 86–96. 24 indexed citations
6.
Jochmanová, Ivana & Ivica Lazúrová. (2017). Diagnosis and management of metastatic pheochromocytoma and paraganglioma. Vnitřní lékařství. 63(9). 580–588. 3 indexed citations
7.
Jochmanová, Ivana & Karel Pacák. (2017). Genomic Landscape of Pheochromocytoma and Paraganglioma. Trends in cancer. 4(1). 6–9. 68 indexed citations
8.
Mercado-Asis, Leilani B, Katherine I. Wolf, Ivana Jochmanová, & David Taïeb. (2017). Pheochromocytoma: A Genetic And Diagnostic Update. Endocrine Practice. 24(1). 78–90. 37 indexed citations
9.
Fliedner, Stephanie, Uma Shankavaram, Abdel Elkahloun, et al.. (2016). Hypoxia-Inducible Factor 2α Mutation-Related Paragangliomas Classify as Discrete Pseudohypoxic Subcluster. Neoplasia. 18(9). 567–576. 15 indexed citations
10.
Jochmanová, Ivana & Karel Pacák. (2016). Pheochromocytoma: The First Metabolic Endocrine Cancer. Clinical Cancer Research. 22(20). 5001–5011. 45 indexed citations
11.
Caisová, Veronika, Gabriela Krejčová, Ivana Jochmanová, et al.. (2016). Innate immunity based cancer immunotherapy: B16-F10 murine melanoma model. BMC Cancer. 16(1). 940–940. 22 indexed citations
12.
Špoutil, František, Miroslav Vlček, Katarína Kršková, et al.. (2016). A Combination of CD28 (rs1980422) and IRF5 (rs10488631) Polymorphisms Is Associated with Seropositivity in Rheumatoid Arthritis: A Case Control Study. PLoS ONE. 11(4). e0153316–e0153316. 18 indexed citations
13.
Jochmanová, Ivana, Zhengping Zhuang, & Karel Pacák. (2015). Pheochromocytoma: Gasping for Air. Hormones and Cancer. 6(5-6). 191–205. 22 indexed citations
14.
Jochmanová, Ivana, Tomáš Zelinka, J Widimský, & Karel Pacák. (2014). HIF Signaling Pathway in Pheochromocytoma and Other Neuroendocrine Tumors. Physiological Research. 63(Suppl 2). S251–S262. 34 indexed citations
15.
Jochmanová, Ivana & Ivica Lazúrová. (2014). A new twist in neuroendocrine tumor research: Pacak-Zhuang syndrome, HIF-2α as the major player in its pathogenesis and future therapeutic options. Biomedical Papers. 158(2). 175–180. 9 indexed citations
16.
Lazúrová, Ivica, et al.. (2014). Autoimmune thyroid disease and rheumatoid arthritis: relationship and the role of genetics. Immunologic Research. 60(2-3). 193–200. 37 indexed citations
17.
Jochmanová, Ivana, et al.. (2013). T45G and G276T Adiponectin Gene Polymorphisms in Primary Aldosteronism and Healthy Controls in an East Slovak Population. Physiological Research. 62(4). 413–420. 1 indexed citations
18.
Jochmanová, Ivana, Chunzhang Yang, Zhengping Zhuang, & Karel Pacák. (2013). Hypoxia-Inducible Factor Signaling in Pheochromocytoma: Turning the Rudder in the Right Direction. JNCI Journal of the National Cancer Institute. 105(17). 1270–1283. 132 indexed citations
19.
Fliedner, Stephanie, Nina Kaludercic, Hana Hansíková, et al.. (2012). Warburg Effect’s Manifestation in Aggressive Pheochromocytomas and Paragangliomas: Insights from a Mouse Cell Model Applied to Human Tumor Tissue. PLoS ONE. 7(7). e40949–e40949. 31 indexed citations
20.
Jochmanová, Ivana, et al.. (2011). CTLA4 exon1 A49G polymorphism in Slovak patients with rheumatoid arthritis and Hashimoto thyroiditis—results and the review of the literature. Clinical Rheumatology. 30(10). 1319–1324. 39 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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