Michael J. Halaška

692 citations
17 papers · 361 · h-index 8

Impact in

    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • Cancer Immunotherapy and Biomarkers
    • Cancer Risks and Factors
    • CAR-T cell therapy research

Papers in

Michael J. Halaška

15 papers receiving 354 citations

Peers

Michael J. Halaška
Comparison fields: 5 of 50
  • Immunology 188
  • Oncology 221
  • Obstetrics and Gynecology 62
  • Drug Discovery 1
  • Reproductive Medicine 49
Replace Heidi Godoy with:
Heidi Godoy United States
Masahiro Kagabu Japan
Hongzan Ji China
Apostolos C Ziogas Greece
Erin George United States
Aska Toda Japan
Alexander Henke Germany
Hua-Hsi Wu Taiwan
Hanzhen Xiong China
Marcin Śniadecki Poland
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Citations per field
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Citations per year

Countries citing papers authored by Michael J. Halaška

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Halaška

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Halaška. 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 Michael J. Halaška. The network helps show where Michael J. Halaška may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael J. Halaška, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael J. Halaška Line = papers co-authored together Michael J. Halaška links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2018144
2 201960
3 201035
4
Squamous intraepithelial lesion-microinvasive carcinoma of the cervix during pregnancy.
200531
5 201627
6 201625
7 202313
8 201213
9 20244
10 20243
11
[Treatment of recurrent ovarian cancer].
20092
12 20251
13 20221
14 20241
15 20241
16 20230
17 20240

About Michael J. Halaška

Michael J. Halaška is a scholar working on Oncology, Obstetrics and Gynecology, Epidemiology, Reproductive Medicine and Immunology, having authored 17 papers that have together received 361 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (5 papers), Ovarian cancer diagnosis and treatment (5 papers), Cervical Cancer and HPV Research (4 papers), Cancer Risks and Factors (4 papers), Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Childhood Cancer Survivors' Quality of Life (2 papers). The work is most often cited by research in Immunology (188 citations), Oncology (221 citations), Obstetrics and Gynecology (62 citations), Drug Discovery (1 citation) and Reproductive Medicine (49 citations). Michael J. Halaška has collaborated with scholars based in Czechia, United States and Italy. Frequent co-authors include Lukáš Rob, Petr Škapa, Michal Hensler, Tomáš Brtnický, Iva Truxová, Ján Laco, Radek Špíšek, Aleš Ryška, Helena Robová and Ivan Práznovec. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, International Journal of Gynecological Cancer, International Journal of Hyperthermia, Journal of Clinical Oncology and International review of cell and molecular biology.

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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