Maciej M. Markiewski
- Immunology top 0.5%
- Molecular Biology top 10%
- Oncology top 5%
- Epidemiology top 5%
- Hematology top 2%
- Co-authors
- John D. LambrisRobert A. DeAngelisChristoph W. StreyTom Eirik MollnesKristina Nilsson EkdahlBo NilssonDimitrios C. MastellosCraig Gérard
- Topics
- Complement system in diseases (24 papers)Liver physiology and pathology (9 papers)Cancer-related Molecular Pathways (6 papers)
- Cited by
- ImmunologyHepatologyHematology
- Partner nations
- United StatesPolandGermany
In The Last Decade
Maciej M. Markiewski
69 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology 2.6k
- Molecular Biology 1.3k
- Oncology 801
- Epidemiology 751
- Hematology 503
Countries citing papers authored by Maciej M. Markiewski
This map shows the geographic impact of Maciej M. Markiewski'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 M. Markiewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maciej M. Markiewski more than expected).
Fields of papers citing papers by Maciej M. Markiewski
This network shows the impact of papers produced by Maciej M. Markiewski. 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 M. Markiewski. The network helps show where Maciej M. Markiewski may publish in the future.
Co-authorship network of co-authors of Maciej M. Markiewski
This figure shows the co-authorship network connecting the top 25 collaborators of Maciej M. Markiewski. A scholar is included among the top collaborators of Maciej M. Markiewski 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 Maciej M. Markiewski. Maciej M. Markiewski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 26 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 161 | |
| 6 | 122 | |
| 7 | 80 | |
| 8 | 1 | |
| 9 | 98 | |
| 10 | The Role of Complement in Inflammatory Diseases From Behind the Scenes into the Spotlightbreakdown → | 525 |
| 11 | 122 | |
| 12 | 148 | |
| 13 | 346 | |
| 14 | 18 | |
| 15 | 151 | |
| 16 | 13 | |
| 17 | Absence or reduction of Fhit expression in most clear cell renal carcinomas. | 69 |
| 18 | 4 | |
| 19 | 39 | |
| 20 | 49 |
About Maciej M. Markiewski
Maciej M. Markiewski is a scholar working on Immunology, Hepatology and Hematology, having authored 69 papers that have together received 4.9k indexed citations. Recurring topics across this work include Complement system in diseases (24 papers), Liver physiology and pathology (9 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Immunology (2.6k citations), Hepatology (427 citations) and Hematology (503 citations). Maciej M. Markiewski has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include John D. Lambris, Robert A. DeAngelis, Christoph W. Strey, Tom Eirik Mollnes, Kristina Nilsson Ekdahl, Bo Nilsson, Dimitrios C. Mastellos, Craig Gérard, Anna Koutoulaki and Fabián Benencia. Their work appears in journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Experimental Medicine.
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.