Femia Kievits

809 total citations
25 papers, 642 citations indexed

About

Femia Kievits is a scholar working on Immunology, Epidemiology and Surgery. According to data from OpenAlex, Femia Kievits has authored 25 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 4 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Femia Kievits's work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (9 papers) and Immunotherapy and Immune Responses (9 papers). Femia Kievits is often cited by papers focused on T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (9 papers) and Immunotherapy and Immune Responses (9 papers). Femia Kievits collaborates with scholars based in Netherlands, France and Germany. Femia Kievits's co-authors include P. Iványi, L. Abraham‐Inpijn, Carla Reinhardus, W. Lokhorst, P Iványi, G J Hämmerling, Sven D. Koch, Aize Kijlstra, Hidde L. Ploegh and A. Berns and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Femia Kievits

25 papers receiving 634 citations

Peers

Femia Kievits
Comparison fields: 5 of 65
  • Immunology 431
  • Molecular Biology 89
  • Periodontics 80
  • Rheumatology 73
  • Hematology 63
Replace Gunhild Lange Wantzin with:
Gunhild Lange Wantzin Denmark
N Gadol United States
Gunhild L. Vejlsgaard Denmark
Ioannis D. Dimitriou Canada
Th. M. Vroom Netherlands
C. H. Tay Singapore
O H Irigoyen United States
F. C. Schmalsteig United States
Hideo Yagita Japan
Natalie Sutkowski United States
Gunhild Lange Wantzin Denmark View profile →
Citations per field, relative to Femia Kievits
Femia Kievits · 1×
Citations per year, relative to Femia Kievits
Femia Kievits · 1×

Countries citing papers authored by Femia Kievits

Since Specialization
Citations

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

Fields of papers citing papers by Femia Kievits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Femia Kievits

This figure shows the co-authorship network connecting the top 25 collaborators of Femia Kievits. A scholar is included among the top collaborators of Femia Kievits 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 Femia Kievits. Femia Kievits 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
# Work Indexed citations
1 10
2 19
3 53
4 62
5 17
6
H-2 class I-restricted recognition of allogeneic class I peptides.
3
7 21
8 11
9 4
10 13
11 10
12 13
13 1
14 1
15 30
16 19
17 75
18 21
19 71
20
Inhibition of C3 deposition on solid-phase bound immune complexes by lactoferrin.
29

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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