F. Schmid

1.6k citations
44 papers · 1.1k · h-index 14

Impact in

  • Immunology top 10%
    • Toxin Mechanisms and Immunotoxins
    • Signaling Pathways in Disease
    • Heat shock proteins research
    • Protein Structure and Dynamics
    • RNA and protein synthesis mechanisms

Papers in

    • Knee injuries and reconstruction techniques 3
    • Protein Structure and Dynamics 4
    • Signaling Pathways in Disease 3

F. Schmid

39 papers receiving 1.1k citations

Peers

F. Schmid
Comparison fields: 5 of 104
  • Immunology 293
  • Molecular Biology 815
  • Cell Biology 109
  • Oncology 122
  • Biotechnology 40
Replace Anne Randolph with:
Anne Randolph United States
Frank Striebel Switzerland
Theodor Kranz Germany
Arnold Feinstein United Kingdom
G. Gay France
Marc C. Deller United States
N. Stephen Pollitt United States
Olle Karlström Sweden
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Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by F. Schmid

Since Specialization
Citations

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

Fields of papers citing papers by F. Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993261
2 1995229
3 199688
4 199285
5 198671
6 200560
7 198845
8 199644
9 198741
10 198740
11 198829
12 199829
13 195115
14 195814
15
Clinical performance of the native pulmonary valve in the systemic circulation.
199812
16 195312
17 19569
18 20008
19 20075
20 19965

About F. Schmid

F. Schmid is a scholar working on Surgery, Molecular Biology, Immunology, Epidemiology and Infectious Diseases, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Enzyme Structure and Function (5 papers), Protein Structure and Dynamics (4 papers), Knee injuries and reconstruction techniques (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Signaling Pathways in Disease (3 papers), Mycobacterium research and diagnosis (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Immunology (293 citations), Molecular Biology (815 citations), Cell Biology (109 citations), Oncology (122 citations) and Biotechnology (40 citations). F. Schmid has collaborated with scholars based in Germany and Netherlands. Frequent co-authors include Gunter Fischer, E. Ralf Schönbrunner, K P Rücknagel, Jens‐U. Rahfeld, K.H. Nierhaus, Gerlind Stoller, Norbert Schülke, George H. Lorimer, Stefan Walter and Jaap J. Beintema. Their work appears in journals such as Lung, European Journal of Pediatrics, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Proceedings of the National Academy of Sciences and Journal of Biological 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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