J Burckhardt

30 papers receiving 1.3k citations

J Burckhardt's Hit Papers

Complexity of the early genetic response to growth factors in mouse fibroblasts. 1988 · 543 citations
5430+12+25Years since publication100200300400500

Peers

J Burckhardt
Comparison fields: 5 of 118
  • Virology 118
  • Microbiology 15
  • Periodontics 67
  • Molecular Biology 836
  • Theoretical Computer Science 16
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E L Barsumian Japan
Nico Cerletti Switzerland
Thomas J. Belbin United States
Karen Blessing United Kingdom
Robert M. Crowl United States
R P Siraganian United States
Y. Taniguchi Japan
J A Schmidt United States
Véronique Le Cabec France
B. Bouadjar Algeria
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Citations per year

Countries citing papers authored by J Burckhardt

Since Specialization
Citations

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

Fields of papers citing papers by J Burckhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J Burckhardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J Burckhardt Line = papers co-authored together J Burckhardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Complexity of the early genetic response to growth factors in mouse fibroblasts.
Hit paper breakdown →
1988543
2 1985248
3 1995157
4 198692
5
Cyclosporin A: in vivo and in vitro suppression of rat T-lymphocyte function.
197961
6 199445
7 199438
8 198136
9 198132
10 199024
11 198524
12 198121
13 197819
14 197618
15 197815
16 199015
17 196715
18 198314
19 198212
20 19797

About J Burckhardt

J Burckhardt is a scholar working on Molecular Biology, Immunology, Oncology, Periodontics and Infectious Diseases, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Oral microbiology and periodontitis research (5 papers), Peptidase Inhibition and Analysis (3 papers), Blood groups and transfusion (3 papers), Ubiquitin and proteasome pathways (2 papers), Historical, Religious, and Philosophical Studies (2 papers), Insect Resistance and Genetics (2 papers), History and Theory of Mathematics (2 papers) and Oral and gingival health research (2 papers). The work is most often cited by research in Virology (118 citations), Microbiology (15 citations), Periodontics (67 citations), Molecular Biology (836 citations) and Theoretical Computer Science (16 citations). J Burckhardt has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include R Bravo, Heather Macdonald-Bravo, José M. Almendral, Dan Sommer, Tom Curran, Rolf Müller, B. Guggenheim, V. S. Kitchen, Elizabeth A. Lane and Jonathan Weber. Their work appears in journals such as Infection and Immunity, The EMBO Journal, Scandinavian Journal of Immunology, Advances in experimental medicine and biology and Archives of Oral Biology.

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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