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.
New physics in rare B decays after Moriond 2021.
2021170 citationsWolfgang Altmannshofer, Peter StanglPubMedprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Peter Stangl'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 Peter Stangl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Stangl more than expected).
This network shows the impact of papers produced by Peter Stangl. 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 Peter Stangl. The network helps show where Peter Stangl may publish in the future.
Co-authorship network of co-authors of Peter Stangl
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Stangl.
A scholar is included among the top collaborators of Peter Stangl 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 Peter Stangl. Peter Stangl is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Greljo, Admir, Peter Stangl, Anders Eller Thomsen, & Jure Zupan. (2022). On (g − 2)μ from gauged U(1)X. Journal of High Energy Physics. 2022(7).18 indexed citations
5.
Greljo, Admir, Yotam Soreq, Peter Stangl, Anders Eller Thomsen, & Jure Zupan. (2022). Muonic force behind flavor anomalies. Journal of High Energy Physics. 2022(4).37 indexed citations
6.
Straub, David, Peter Stangl, M. Kirk, et al.. (2021). flav-io/flavio: v2.3.1. Zenodo (CERN European Organization for Nuclear Research).2 indexed citations
7.
Altmannshofer, Wolfgang & Peter Stangl. (2021). New physics in rare B decays after Moriond 2021.. PubMed. 81(10). 952–952.170 indexed citations breakdown →
8.
Greljo, Admir, Peter Stangl, & Anders Eller Thomsen. (2021). A model of muon anomalies. Physics Letters B. 820. 136554–136554.45 indexed citations
9.
Aebischer, Jason, Wolfgang Altmannshofer, Diego Guadagnoli, et al.. (2020). B-decay discrepancies after Moriond 2019. The European Physical Journal C. 80(3).131 indexed citations
10.
Straub, David, et al.. (2017). flav-io/flavio v0.20.4. Zenodo (CERN European Organization for Nuclear Research).4 indexed citations
Stangl, Peter. (1985). Strategic Planning for Library Managers. Europe PMC (PubMed Central). 73(3). 295–296.1 indexed citations
18.
Stangl, Peter. (1977). A Systems Approach to Library Program Development.. Europe PMC (PubMed Central). 65(4). 488–488.2 indexed citations
19.
Stangl, Peter & Frederick G. Kilgour. (1967). Analysis of recorded biomedical book and journal use in the Yale Medical Library. I. Date and subject relations.. PubMed. 55(3). 290–300.10 indexed citations
20.
Stangl, Peter & Frederick G. Kilgour. (1967). Analysis of recorded biomedical book and journal use in the Yale Medical Library. II. Subject and user relations.. PubMed. 55(3). 301–15.2 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.