Tomáš Pika

2.4k citations
67 papers · 336 · h-index 11

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Multiple Myeloma Research and Treatments 50
    • Amyloidosis: Diagnosis, Treatment, Outcomes 20
    • Protein Degradation and Inhibitors 12

Tomáš Pika

54 papers receiving 328 citations

Peers

Tomáš Pika
Comparison fields: 5 of 46
  • Hematology 224
  • Genetics 68
  • Oncology 129
  • Nephrology 31
  • Molecular Biology 222
Replace Miriam Hobbs with:
Miriam Hobbs United States
Vladimír Maisnar Czechia
Bart Barlogie United States
RA Kyle United States
Eva Medvedova United States
D Wolfenbarger United States
Enrica Borsi Italy
F. G. C. Jones United Kingdom
Giovanna Pomilio Australia
Tobias Dittrich Germany
Tomáš Pika relative to Miriam Hobbs United States Miriam Hobbs's profile →
Citations per field
00.5×3.5×
Miriam Hobbs · 1×
Citations per year

Countries citing papers authored by Tomáš Pika

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Pika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tomáš Pika, 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 Tomáš Pika Line = papers co-authored together Tomáš Pika links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201727
2 202026
3 201821
4 202121
5 201521
6 201919
7 201616
8 201714
9 201213
10 201111
11 201110
12 201510
13 20179
14 20108
15 20158
16 20208
17 20167
18 20236
19 20225
20 20105

About Tomáš Pika

Tomáš Pika is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Neurology, having authored 67 papers that have together received 336 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (50 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (20 papers), Cancer Treatment and Pharmacology (12 papers), Protein Degradation and Inhibitors (12 papers), Peptidase Inhibition and Analysis (12 papers), Chronic Lymphocytic Leukemia Research (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers) and Bone health and treatments (8 papers). The work is most often cited by research in Hematology (224 citations), Genetics (68 citations), Oncology (129 citations), Nephrology (31 citations) and Molecular Biology (222 citations). Tomáš Pika has collaborated with scholars based in Czechia, Greece and Spain. Frequent co-authors include Jiří Minařík, Vlastimil Ščudla, Jaroslav Bačovský, Roman Hájek, Petr Džubák, Marián Hajdúch, Kateřina Langová, Christoph Kimmich, Ute Hegenbart and Vladimír Maisnar. Their work appears in journals such as Blood, European Journal Of Haematology, Annals of Hematology, Journal of Clinical Oncology and Scientific Reports.

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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