Maciej Siedlar

5.2k citations
136 papers · 3.8k indexed · 2 hit papers · h-index 29
Topics
Immune Cell Function and Interaction (24 papers)Immune cells in cancer (21 papers)Extracellular vesicles in disease (15 papers)

In The Last Decade

Maciej Siedlar

129 papers receiving 3.7k citations

Hit Papers

The Proinflammatory CD14+CD16+DR++ Monocytes Are a Major ...200220262010201820022017200400600

Peers

Maciej Siedlar
Comparison fields: 5 of 123
  • Immunology 1.6k
  • Molecular Biology 1.4k
  • Oncology 898
  • Cancer Research 686
  • Epidemiology 330
Replace Tonino Alonzi with:
Tonino Alonzi Italy
Christine Brostjan Austria
Frank Autschbach Germany
Thomas Geiger Germany
Nathalie Auphan‐Anezin France
Ying Li China
Sergei B. Koralov United States
Pravin B. Sehgal United States
Marco Cippitelli Italy
Mónica Gumá United States
Maciej Siedlar relative to Tonino Alonzi Italy Tonino Alonzi's profile →
Citations per field
00.5×
Tonino Alonzi · 1×
Citations per year

Countries citing papers authored by Maciej Siedlar

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Siedlar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Siedlar

This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Siedlar. A scholar is included among the top collaborators of Maciej Siedlar 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 Siedlar. Maciej Siedlar 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 2
3 3
4 12
5 5
6 11
7 61
8 7
9 58
10 2
11 68
12 1
13 4
14 18
15
Pentoxifylline does not affect nociception if administered postoperatively.
16
16
Human monocytes/macrophages in the antitumour response of the host
2
17 55
18
The Proinflammatory CD14+CD16+DR++ Monocytes Are a Major Source of TNFbreakdown →
683
19 215
20 55

About Maciej Siedlar

Maciej Siedlar is a scholar working on Immunology, Oncology and Cancer Research, having authored 136 papers that have together received 3.8k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (24 papers), Immune cells in cancer (21 papers) and Extracellular vesicles in disease (15 papers). The work is most often cited by research in Immunology (1.6k citations), Cancer Research (686 citations) and Oncology (898 citations). Maciej Siedlar has collaborated with scholars based in Poland, Switzerland and United Kingdom. Frequent co-authors include Monika Baj‐Krzyworzeka, Jarosław Baran, Rafał Szatanek, Marek Zembala, Marion Frankenberger, Terje Espevik, Löms Ziegler-Heitbrock, Farshid Dayyani, Bernhard Frankenberger and Kazimierz Węglarczyk. Their work appears in journals such as Circulation, The Journal of Immunology and PLoS ONE.

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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