Ferenc A. Scheeren

7.7k citations
49 papers · 3.4k indexed · 2 hit papers · h-index 26
Topics
Immune Cell Function and Interaction (18 papers)T-cell and B-cell Immunology (16 papers)Immunotherapy and Immune Responses (14 papers)

In The Last Decade

Ferenc A. Scheeren

44 papers receiving 3.4k citations

Hit Papers

Single-cell transcriptional diversity is a hallmark of de...202020262022202420202020200400600

Peers

Ferenc A. Scheeren
Comparison fields: 5 of 106
  • Immunology 1.5k
  • Molecular Biology 1.4k
  • Oncology 1.2k
  • Cancer Research 596
  • Pathology and Forensic Medicine 253
Replace Monica Rodolfo with:
Monica Rodolfo Italy
Henry Koon United States
Heinz Jacobs Netherlands
Igor Dolgalev United States
Lucia Gabriele Italy
Branden S. Moriarity United States
Ying Xiang China
Brian M. Iritani United States
Cora D. Arthur United States
Peter Ebert United States
Ferenc A. Scheeren relative to Monica Rodolfo Italy Monica Rodolfo's profile →
Citations per field
00.5×10×15×19×
Monica Rodolfo · 1×
Citations per year

Countries citing papers authored by Ferenc A. Scheeren

Since Specialization
Citations

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

Fields of papers citing papers by Ferenc A. Scheeren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ferenc A. Scheeren. 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 Ferenc A. Scheeren. The network helps show where Ferenc A. Scheeren may publish in the future.

Co-authorship network of co-authors of Ferenc A. Scheeren

This figure shows the co-authorship network connecting the top 25 collaborators of Ferenc A. Scheeren. A scholar is included among the top collaborators of Ferenc A. Scheeren 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 Ferenc A. Scheeren. Ferenc A. Scheeren 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 0
2 1
3 3
4 3
5 10
6 29
7 4
8
Single-cell transcriptional diversity is a hallmark of developmental potentialbreakdown →
712
9 13
10 3
11 38
12 45
13 155
14 97
15 26
16 96
17 3
18 220
19 85
20 127

About Ferenc A. Scheeren

Ferenc A. Scheeren is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 3.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (16 papers) and Immunotherapy and Immune Responses (14 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (1.2k citations) and Cancer Research (596 citations). Ferenc A. Scheeren has collaborated with scholars based in Netherlands, United States and Germany. Frequent co-authors include Ton N. Schumacher, Meike E. W. Logtenberg, Hergen Spits, Dalong Qian, Michael F. Clarke, Angera H. Kuo, Maho Nagasawa, Sean A. Diehl, Shang Cai and Maider Zabala. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature 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.

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