Imre Kacskovıcs

2.9k citations
59 papers · 2.0k indexed · h-index 27
Topics
Monoclonal and Polyclonal Antibodies Research (32 papers)Glycosylation and Glycoproteins Research (23 papers)T-cell and B-cell Immunology (13 papers)

In The Last Decade

Imre Kacskovıcs

58 papers receiving 2.0k citations

Peers

Imre Kacskovıcs
Comparison fields: 5 of 100
  • Molecular Biology 821
  • Immunology 669
  • Radiology, Nuclear Medicine and Imaging 568
  • Small Animals 314
  • Nutrition and Dietetics 221
Replace Shunji Sugii with:
Shunji Sugii Japan
Bunei Syuto Japan
Michael P. Murtaugh United States
Charles A. Dangler United States
Paul E. Baker United States
Zsuzsanna Bösze Hungary
J. Russell Lindsey United States
María A. Álava Spain
Robin E. Everts United States
A Szenberg Australia
Imre Kacskovıcs relative to Shunji Sugii Japan Shunji Sugii's profile →
Citations per field
00.5×8.1×
Shunji Sugii · 1×
Citations per year

Countries citing papers authored by Imre Kacskovıcs

Since Specialization
Citations

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

Fields of papers citing papers by Imre Kacskovıcs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Imre Kacskovıcs

This figure shows the co-authorship network connecting the top 25 collaborators of Imre Kacskovıcs. A scholar is included among the top collaborators of Imre Kacskovıcs 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 Imre Kacskovıcs. Imre Kacskovıcs 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 1
2 3
3 4
4 2
5 16
6 1
7 167
8 11
9 17
10 61
11 19
12 64
13 48
14 65
15 41
16 47
17 144
18 81
19 75
20 17

About Imre Kacskovıcs

Imre Kacskovıcs is a scholar working on Small Animals, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 59 papers that have together received 2.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (32 papers), Glycosylation and Glycoproteins Research (23 papers) and T-cell and B-cell Immunology (13 papers). The work is most often cited by research in Small Animals (314 citations), Immunology (669 citations) and Sensory Systems (151 citations). Imre Kacskovıcs has collaborated with scholars based in Hungary, United States and Sweden. Frequent co-authors include Lennart Hammarström, J.E. Butler, Judit Cervenak, Yaofeng Zhao, László V. Frenyó, Jing Sun, Balázs Mayer, Márton Doleschall, Nancy Wertz and William R. Brown. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Immunology.

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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