Gottfried J. Feistner

1.2k citations
17 papers · 818 indexed · 1 hit paper · h-index 11
Topics
Mass Spectrometry Techniques and Applications (6 papers)Plant Pathogenic Bacteria Studies (6 papers)Analytical Chemistry and Chromatography (3 papers)

In The Last Decade

Gottfried J. Feistner

17 papers receiving 790 citations

Hit Papers

Pancreastatin, a novel pancreatic peptide that inhibits i...19862026199920121986100200300400500

Peers

Gottfried J. Feistner
Comparison fields: 5 of 87
  • Molecular Biology 468
  • Cellular and Molecular Neuroscience 278
  • Cell Biology 233
  • Surgery 130
  • Plant Science 109
Replace Johann Gassenhuber with:
Johann Gassenhuber Germany
Matthijs Lopes‐Cardozo Netherlands
J S McKinney United States
Jane Rasmussen United States
Tomio Ono Japan
Hubert Clauser France
Nobuyuki Sasakawa Japan
Md Nawajes A. Mandal United States
Zong Jie Cui China
Jim C. Fong Taiwan
Gottfried J. Feistner relative to Johann Gassenhuber Germany Johann Gassenhuber's profile →
Citations per field
00.5×1.5×1.9×
Johann Gassenhuber · 1×
Citations per year

Countries citing papers authored by Gottfried J. Feistner

Since Specialization
Citations

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

Fields of papers citing papers by Gottfried J. Feistner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gottfried J. Feistner

This figure shows the co-authorship network connecting the top 25 collaborators of Gottfried J. Feistner. A scholar is included among the top collaborators of Gottfried J. Feistner 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 Gottfried J. Feistner. Gottfried J. Feistner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 10
2 15
3 12
4 14
5 17
6 6
7 60
8 11
9 1
10 15
11 8
12
Pancreastatin, a novel pancreatic peptide that inhibits insulin secretionbreakdown →
595
13 17
14 2
15 7
16 5
17 23

About Gottfried J. Feistner

Gottfried J. Feistner is a scholar working on Spectroscopy, Toxicology and Pharmacology, having authored 17 papers that have together received 818 indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (6 papers), Plant Pathogenic Bacteria Studies (6 papers) and Analytical Chemistry and Chromatography (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (278 citations), Cell Biology (233 citations) and Molecular Biology (468 citations). Gottfried J. Feistner has collaborated with scholars based in United States, Sweden and Germany. Frequent co-authors include Kazuhiko Tatemoto, Viktor Mutt, S. Efendić, Jack D. Barchas, George Makk, Douglas C. Stahl, H. Budzikiewicz, Lanny Hsieh, G. Pulverer and Kym F. Faull. Their work appears in journals such as Nature, Trends in Neurosciences and The Journal of Organic Chemistry.

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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