Damian Kołat

1.8k citations
50 papers · 1.1k indexed · 3 hit papers · h-index 13
Topics
Long-Term Effects of COVID-19 (10 papers)RNA modifications and cancer (8 papers)COVID-19 Clinical Research Studies (7 papers)
Partner nations
PolandChinaUnited States

In The Last Decade

Damian Kołat

46 papers receiving 1.1k citations

Hit Papers

Doxorubicin—An Agent with Multiple Mechanisms of Anticanc...2023202620242025202320232024100200300

Peers

Damian Kołat
Comparison fields: 5 of 111
  • Molecular Biology 553
  • Oncology 208
  • Biomedical Engineering 161
  • Cancer Research 152
  • Biomaterials 127
Replace Di Fan with:
Di Fan China
Soheila Montazersaheb Iran
Żaneta Kałuzińska‐Kołat Poland
Gabriela Figueroa‐González Mexico
Pablo Álvarez Spain
Hakimeh Zali Iran
Yun Chen Taiwan
Tianjiao Zhao China
Damian Kołat relative to Di Fan China Di Fan's profile →
Citations per field
00.5×2.8×
Di Fan · 1×
Citations per year

Countries citing papers authored by Damian Kołat

Since Specialization
Citations

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

Fields of papers citing papers by Damian Kołat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damian Kołat

This figure shows the co-authorship network connecting the top 25 collaborators of Damian Kołat. A scholar is included among the top collaborators of Damian Kołat 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 Damian Kołat. Damian Kołat 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
#WorkIndexed citations
1 3
2 1
3 1
4 2
5 25
6 6
7 18
8 1
9 1
10 8
11 4
12 5
13 6
14 8
15 25
16 3
17
Doxorubicin—An Agent with Multiple Mechanisms of Anticancer Activitybreakdown →
385
18 38
19 38
20 11

About Damian Kołat

Damian Kołat is a scholar working on Neurology, Molecular Medicine and Cancer Research, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (10 papers), RNA modifications and cancer (8 papers) and COVID-19 Clinical Research Studies (7 papers). The work is most often cited by research in Molecular Medicine (51 citations), Cancer Research (152 citations) and Biomaterials (127 citations). Damian Kołat has collaborated with scholars based in Poland, China and United States. Frequent co-authors include Żaneta Kałuzińska‐Kołat, Mateusz Kciuk, Renata Kontek, Adrianna Gielecińska, İsmail Çeli̇k, Somdutt Mujwar, Elżbieta Płuciennik, Andrzej K. Bednarek, Lin-Yong Zhao and Lei Lei. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Molecules.

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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