Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Targeted Disruption of the Mouse Caspase 8 Gene Ablates Cell Death Induction by the TNF Receptors, Fas/Apo1, and DR3 and Is Lethal Prenatally
1998999 citationsEugene Varfolomeev, Marcus Schuchmann et al.Immunityprofile →
Extensive Nitration of Protein Tyrosines in Human Atherosclerosis Detected by Immunohistochemistry
1994988 citationsJ. Beckmann et al.Biological Chemistry Hoppe-Seylerprofile →
Mutations in the proteolytic enzyme calpain 3 cause limb-girdle muscular dystrophy type 2A
1995774 citationsOdile Broux, Françoise Fougerousse et al.profile →
FoldIndex(C): a simple tool to predict whether a given protein sequence is intrinsically unfolded
This map shows the geographic impact of J. Beckmann'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. Beckmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Beckmann more than expected).
This network shows the impact of papers produced by J. Beckmann. 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. Beckmann. The network helps show where J. Beckmann may publish in the future.
Co-authorship network of co-authors of J. Beckmann
This figure shows the co-authorship network connecting the top 25 collaborators of J. Beckmann.
A scholar is included among the top collaborators of J. Beckmann 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 J. Beckmann. J. Beckmann 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.
Beckmann, J.. (2017). From evidence-based to precision medicine: Challenges and opportunities.1 indexed citations
Michaud, Katarzyna, Florence Fellmann, Hugues Abriel, et al.. (2009). Molecular autopsy in sudden cardiac death and its implication for families: discussion of the practical, legal and ethical aspects of the multidisciplinary collaboration. SERVAL (Université de Lausanne).8 indexed citations
7.
Rivolta, Carlo, Terri L. McGee, Nicholas M. Wade, et al.. (2009). A Single-Base Substitution Within an Intronic Repetitive Element in PRPF31 Causes Dominant Retinitis Pigmentosa With Reduced Penetrance. Investigative Ophthalmology & Visual Science. 50(13). 2318–2318.6 indexed citations
Varfolomeev, Eugene, Marcus Schuchmann, Victor Luria, et al.. (1998). Targeted Disruption of the Mouse Caspase 8 Gene Ablates Cell Death Induction by the TNF Receptors, Fas/Apo1, and DR3 and Is Lethal Prenatally. Immunity. 9(2). 267–276.999 indexed citations breakdown →
11.
Henskens, Yvonne, Wim van’t Hof, Enno C.I. Veerman, et al.. (1996). Short Communication. Biological Chemistry Hoppe-Seyler. 377(12). 847–864.3 indexed citations
Belal, Samir, Giorgio Sirugo, P.A. Ioannou, et al.. (1992). Study of large inbred Friedreich ataxia families reveals a recombination between D9S15 and the disease locus.. PubMed. 51(6). 1372–6.11 indexed citations
15.
Gafni, Yedidya, et al.. (1990). RFLP analysis of a hybrid cultivar of pepper (Capsicum annuum) and its use in distinguishing between parental lines and in hybrid identification.. Seed Science and Technology. 18(2). 209–214.11 indexed citations
Kashi, Yechezkel, et al.. (1986). Restriction fragment length polymorphisms in dairy cattle genetic improvement.. Proceedings of the World Congress on Genetics applied to Livestock Production. 57–63.8 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.