M Havelka

529 total citations
30 papers, 397 citations indexed

About

M Havelka is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Immunology. According to data from OpenAlex, M Havelka has authored 30 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Surgery and 11 papers in Immunology. Recurrent topics in M Havelka's work include Thyroid Cancer Diagnosis and Treatment (13 papers), Galectins and Cancer Biology (11 papers) and Peptidase Inhibition and Analysis (8 papers). M Havelka is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (13 papers), Galectins and Cancer Biology (11 papers) and Peptidase Inhibition and Analysis (8 papers). M Havelka collaborates with scholars based in Serbia, Czechia and Poland. M Havelka's co-authors include Ivan Paunović, Svetislav Tatić, Svetlana Savin, Dubravka Cvejić, Ivana Petrović, Aleksandar Diklić, Vladan Živaljević, Nevena Kalezić, Branka Bonači‐Nikolić and Miloš Nikolić and has published in prestigious journals such as The Annals of Thoracic Surgery, Human Pathology and Histopathology.

In The Last Decade

M Havelka

29 papers receiving 385 citations

Peers

M Havelka
Comparison fields: 5 of 46
  • Endocrinology, Diabetes and Metabolism 229
  • Immunology 176
  • Molecular Biology 100
  • Surgery 95
  • Oncology 93
Replace Bernardo Goulart with:
Bernardo Goulart United States
Christiane Jungels Belgium
Antonella Miraglia Italy
Hyeong Chan Shin South Korea
Patrizia Dadati Italy
Margarida M. Moura Portugal
Vlasta Sýkorová Czechia
Sabine Oeschger Germany
Eduardo Caetano Albino da Silva Brazil
Samuel Suzuki United States
Bernardo Goulart United States View profile →
Citations per field, relative to M Havelka
M Havelka · 1×
Citations per year, relative to M Havelka
M Havelka · 1×

Countries citing papers authored by M Havelka

Since Specialization
Citations

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

Fields of papers citing papers by M Havelka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Havelka

This figure shows the co-authorship network connecting the top 25 collaborators of M Havelka. A scholar is included among the top collaborators of M Havelka 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 M Havelka. M Havelka 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
# Work Indexed citations
1 19
2 37
3 26
4 32
5
[Fibrosarcoma of the pancreas].
1
6 17
7 12
8
The efficacy of the thyroid peroxidase marker for distinguishing follicular thyroid carcinoma from follicular adenoma.
9
9 19
10 16
11
Galectin-3 and proliferating cell nuclear antigen (PCNA) expression in papillary thyroid carcinoma.
13
12 8
13 3
14 1
15 10
16 16
17
[Pheochromocytoma--pathohistologic and immunohistochemical aspects].
4
18 9
19 33
20
Immunohistochemical localization of galectin-3 in malignant and benign human thyroid tissue.
88

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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