G. Weichhold

1.3k citations
11 papers · 188 · h-index 8

Impact in

    • Forensic and Genetic Research
  • Archeology top 10%
    • Forensic Anthropology and Bioarchaeology Studies

Papers in

    • Forensic and Genetic Research 6
    • Genetic Associations and Epidemiology 2
    • Molecular Biology Techniques and Applications 4
    • Glycosylation and Glycoproteins Research 2

G. Weichhold

10 papers receiving 175 citations

Peers

G. Weichhold
Comparison fields: 5 of 44
  • Genetics 97
  • Archeology 32
  • Immunology 44
  • Radiology, Nuclear Medicine and Imaging 43
  • Molecular Biology 109
Replace Bernardo R. Peixoto with:
Bernardo R. Peixoto Portugal
B. Hoste Belgium
Laura Kunz Switzerland
Helge Lubenow Germany
Xiangyu Ge United Kingdom
Vedrana Škaro Croatia
Irina Evseeva Russia
Daisuke Nishimiya Japan
Rifat Hadžiselimović Bosnia and Herzegovina
E. Huguet Spain
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Citations per field
00.5×5.4×
Bernardo R. Peixoto · 1×
Citations per year

Countries citing papers authored by G. Weichhold

Since Specialization
Citations

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

Fields of papers citing papers by G. Weichhold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Weichhold, 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 G. Weichhold Line = papers co-authored together G. Weichhold links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 199335
2 200134
3 199030
4 199825
5 200020
6 199816
7 200016
8 19939
9 19972
10 19921
11 20240

About G. Weichhold

G. Weichhold is a scholar working on Genetics, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Archeology and Immunology and Allergy, having authored 11 papers that have together received 188 indexed citations. Recurring topics across this work include Forensic and Genetic Research (6 papers), Molecular Biology Techniques and Applications (4 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Glycosylation and Glycoproteins Research (2 papers), Cell Adhesion Molecules Research (2 papers), Genetic Associations and Epidemiology (2 papers) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Genetics (97 citations), Archeology (32 citations), Immunology (44 citations), Radiology, Nuclear Medicine and Imaging (43 citations) and Molecular Biology (109 citations). G. Weichhold has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Hans G. Zachau, Wolfgang Eisenmenger, Katja Anslinger, W. Keil, Birgit Bayer, Gabriele Combriato, H. Schmitter, H.‐Gustav Klobeck, S. Rand and Kevin M. Sullivan. Their work appears in journals such as International Journal of Legal Medicine, Genomics, Nature, iScience and Forensic Science International.

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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