Maciej Krasnodębski

982 citations
54 papers · 538 indexed · h-index 11

Impact in

  • Hepatology top 5%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

    • Liver Disease and Transplantation 24
    • Hepatocellular Carcinoma Treatment and Prognosis 14
    • Renal Transplantation Outcomes and Treatments 3

Maciej Krasnodębski

50 papers receiving 528 citations

Peers

Maciej Krasnodębski
Comparison fields: 5 of 67
  • Hepatology 253
  • Transplantation 25
  • Epidemiology 223
  • Surgery 238
  • Oncology 90
Replace Karolina M. Wronka with:
Karolina M. Wronka Poland
Karolina Grąt Poland
Łukasz Masior Poland
Jan Stypułkowski Poland
M. Shadab Siddiqui United States
Gloria Sánchez‐Antolín Spain
Siddharth Sood Australia
Piotr Czubkowski Poland
Wacław Hołówko Poland
Nathalie H. Urrunaga United States
Maciej Krasnodębski relative to Karolina M. Wronka Poland Karolina M. Wronka's profile →
Citations per field
00.5×1.5×2.3×
Karolina M. Wronka · 1×
Citations per year

Countries citing papers authored by Maciej Krasnodębski

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Krasnodębski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
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3 20240
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5 20231
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10 20211
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12 20209
13 20205
14 20192
15 20196
16 20198
17 20182
18 201757
19 20163
20 2016157

About Maciej Krasnodębski

Maciej Krasnodębski is a scholar working on Hepatology, Transplantation, Surgery, Epidemiology and Oncology, having authored 54 papers that have together received 538 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (25 papers), Liver Disease and Transplantation (24 papers), Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Liver Disease Diagnosis and Treatment (14 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), Organ Donation and Transplantation (5 papers), Renal Transplantation Outcomes and Treatments (3 papers) and Viral-associated cancers and disorders (3 papers). The work is most often cited by research in Hepatology (253 citations), Transplantation (25 citations), Epidemiology (223 citations), Surgery (238 citations) and Oncology (90 citations). Maciej Krasnodębski has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Michał Grąt, Marek Krawczyk, Łukasz Masior, Waldemar Patkowski, Karolina Grąt, Karolina M. Wronka, Jan Stypułkowski, Zbigniew Lewandowski, Michał Wasilewicz and Patrycja Szachta. Their work appears in journals such as Journal of Clinical Medicine, Annals of Surgical Oncology, Scientific Reports, Gastroenterology Review and HPB.

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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