E. Egberts

1.7k total citations
54 papers, 1.4k citations indexed

About

E. Egberts is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, E. Egberts has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 15 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in E. Egberts's work include Aquaculture disease management and microbiota (26 papers), Animal Virus Infections Studies (9 papers) and T-cell and B-cell Immunology (7 papers). E. Egberts is often cited by papers focused on Aquaculture disease management and microbiota (26 papers), Animal Virus Infections Studies (9 papers) and T-cell and B-cell Immunology (7 papers). E. Egberts collaborates with scholars based in Netherlands, Germany and Canada. E. Egberts's co-authors include Peter Traub, Perry B. Hackett, S.H.M. van Erp, R.J.M. Stet, Brian Dixon, Christopher J. Secombes, J.J.M. van Groningen, J.H.W.M. Rombout, Leen J. Blok and C. B. H. W. Lamers and has published in prestigious journals such as Journal of Molecular Biology, Journal of Virology and European Journal of Biochemistry.

In The Last Decade

E. Egberts

52 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
E. Egberts Netherlands 19 904 368 199 168 124 54 1.4k
Tadaaki Moritomo Japan 25 1.6k 1.7× 257 0.7× 70 0.4× 262 1.6× 123 1.0× 86 1.9k
Darlene L. Middleton United States 19 717 0.8× 398 1.1× 162 0.8× 74 0.4× 33 0.3× 29 1.0k
Unni Grimholt Norway 26 1.8k 1.9× 463 1.3× 468 2.4× 259 1.5× 218 1.8× 53 2.3k
Jan E. Bly United States 20 1.1k 1.2× 152 0.4× 59 0.3× 437 2.6× 377 3.0× 35 1.3k
Donald D. Ourth United States 22 726 0.8× 245 0.7× 66 0.3× 181 1.1× 80 0.6× 61 1.1k
E M Prager United States 14 294 0.3× 474 1.3× 384 1.9× 70 0.4× 142 1.1× 17 1.1k
Sarvamangala V. Prasad United States 17 329 0.4× 762 2.1× 371 1.9× 76 0.5× 101 0.8× 22 1.7k
Harry W. Dickerson United States 27 1.3k 1.5× 298 0.8× 59 0.3× 228 1.4× 854 6.9× 44 1.7k
Jingqun Ao China 31 1.6k 1.7× 468 1.3× 132 0.7× 353 2.1× 159 1.3× 83 2.0k
J. S. Rohovec United States 25 1.2k 1.3× 279 0.8× 113 0.6× 222 1.3× 274 2.2× 52 1.5k

Countries citing papers authored by E. Egberts

Since Specialization
Citations

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

Fields of papers citing papers by E. Egberts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Egberts

This figure shows the co-authorship network connecting the top 25 collaborators of E. Egberts. A scholar is included among the top collaborators of E. Egberts 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 E. Egberts. E. Egberts 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
1.
Rodrigues, Pedro, Brian Dixon, Jeroen Roelofs, et al.. (1997). Expression and Temperature‐Dependent Regulation of the Beta2‐Microglobulin (Cyca-B2m) Gene in a Cold‐Blooded Vertebrate, the Common Carp (Cyprinus carpio L.). Journal of Immunology Research. 5(4). 263–275. 34 indexed citations
2.
Dixon, Brian, et al.. (1996). Isolation of Major Histocompatibility Complex class II beta sequences from Lake Tana barbel (Barbus intermedius complex).. Folia Zoologica. 45. 47–54. 4 indexed citations
3.
Erp, S.H.M. van, et al.. (1996). Evidence for multiple distinct class I lineages in teleostean fish.. Socio-Environmental Systems Modeling. 23. 371–381. 3 indexed citations
4.
Erp, S.H.M. van, E. Egberts, & R.J.M. Stet. (1996). EVIDENCE FOR MULTIPLE DISTINCT MAJOR HISTOCOMPATIBILITY COMPLEX CLASS I LINEAGES IN TELEOSTEAN FISH*. International Journal of Immunogenetics. 23(5). 371–381. 9 indexed citations
5.
Erp, S.H.M. van, et al.. (1996). Characterization of class IIA andB genes in a gynogenetic carp clone. Immunogenetics. 44(3). 192–202. 65 indexed citations
6.
Erp, S.H.M. van, Brian Dixon, Felipe Figueroa, E. Egberts, & R.J.M. Stet. (1996). Identification and characterization of a new major histocompatibility complex class I gene in carp (Cyprinus carpio L.). Immunogenetics. 44(1). 49–61. 57 indexed citations
7.
Dixon, Brian, L.A.J. Nagelkerke, Ferdinand A. Sibbing, E. Egberts, & R.J.M. Stet. (1996). Evolution ofMHC class II β chain-encoding genes in the Lake Tana barbel species flock (Barbus intermedius complex). Immunogenetics. 44(6). 419–431. 62 indexed citations
8.
Egberts, E., et al.. (1995). B cell and immunoglobulin heterogeneity in carp (Cyprinus carpio L); An immuno(cyto)chemical study. Developmental & Comparative Immunology. 19(1). 97–108. 56 indexed citations
9.
Dixon, Brian, et al.. (1995). Fish major histocompatibility complex genes: An expansion. Developmental & Comparative Immunology. 19(2). 109–133. 88 indexed citations
10.
Rodrigues, Pedro, et al.. (1994). MHC class II expression in lymphoid cells of the carp.. Developmental & Comparative Immunology. 18. 42–42.
11.
Dixon, Brian, et al.. (1994). Evolution of MHC class II beta chain polymorphism in the Barbus species flock of Lake Tana.. Developmental & Comparative Immunology. 18. 1 indexed citations
12.
Hepkema, Bouke G., E. J. Hensen, A.J. van der Zijpp, et al.. (1993). Mapping of susceptibility to Marek's disease within the major histocompatibility (B) complex by refined typing of White Leghorn chickens. Animal Genetics. 24(4). 283–287. 26 indexed citations
13.
Schots, A., F.J. Gommers, & E. Egberts. (1992). Quantitative ELISA for the detection of potato cyst nematodes in soil samples.. Fundamental & applied nematology. 15(1). 55–61. 18 indexed citations
14.
Tilanus, Marcel G.J., et al.. (1990). MHC-associated resistance against Marek's disease in White Leghorn chickens: refined typing of B-G and B-F alleles using protein and DNA analysis.. 457–460. 2 indexed citations
16.
Schots, A., et al.. (1988). A method for the determination of antibody affinity using a direct ELISA. Journal of Immunological Methods. 109(2). 225–233. 42 indexed citations
17.
Parmentier, H.K., L.P.M. Timmermans, & E. Egberts. (1984). Monoclonal antibodies against spermatozoa of the common carp (Cyprinus carpio L.). Cell and Tissue Research. 236(1). 99–105. 18 indexed citations
18.
Secombes, Christopher J., J.J.M. van Groningen, & E. Egberts. (1983). Separation of lymphocyte subpopulations in carp Cyprinus carpio L. by monoclonal antibodies: immunohistochemical studies.. PubMed. 48(1). 165–75. 114 indexed citations
19.
Egberts, E., J.J.M. van Groningen, & W.B. van Muiswinkel. (1982). The immune system of Cyprinid fish. monoclonal antibodies directed against carp thymocytes. Developmental & Comparative Immunology. 2. 217–222. 7 indexed citations
20.
Hackett, Perry B., E. Egberts, & Peter Traub. (1977). An investigation of the stability of messenger RNAs in cell-free, translational systems from uninfected and mengovirus-infected Ehrlich ascites tumor cells. Molecular Biology Reports. 3(4). 305–313. 3 indexed citations

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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