J. Schuppler

407 citations
6 papers · 325 indexed · h-index 4
Topics
Glycosylation and Glycoproteins Research (1 paper)Blood properties and coagulation (1 paper)Sarcoma Diagnosis and Treatment (1 paper)
Partner nations
Switzerland

In The Last Decade

J. Schuppler

6 papers receiving 296 citations

Peers

J. Schuppler
Comparison fields: 5 of 61
  • Cancer Research 144
  • Molecular Biology 141
  • Pharmacology 84
  • Oncology 76
  • Health, Toxicology and Mutagenesis 44
Replace Carol J. Maslansky with:
Carol J. Maslansky United States
Samuel E. Abanobi United States
H. C. Pitot United States
J M Ward United States
Pitot Hc United States
Susan C. Hasmall United Kingdom
Pamela K. Ross United States
Oliver Moennikes Germany
Eisaku Kobayashi Japan
Serenella Frassetto Italy
J. Schuppler relative to Carol J. Maslansky United States Carol J. Maslansky's profile →
Citations per field
00.5×1.5×
Carol J. Maslansky · 1×
Citations per year

Countries citing papers authored by J. Schuppler

Since Specialization
Citations

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

Fields of papers citing papers by J. Schuppler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Schuppler

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1
Promotion of spontaneous preneoplastic cells in rat liver as a possible explanation of tumor production by nonmutagenic compounds.
152
2
Enhanced proliferation of putative preneoplastic cells in rat liver following treatment with the tumor promoters phenobarbital, hexachlorocyclohexane, steroid compounds, and nafenopin.
158
3 6
4 1
5
GM1-gangliosidoses. II. Morphological aspects and review of the literature.
3
6 5

About J. Schuppler

J. Schuppler is a scholar working on Pharmaceutical Science, Cancer Research and Physiology, having authored 6 papers that have together received 325 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (1 paper), Blood properties and coagulation (1 paper) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Pharmacology (84 citations), Cancer Research (144 citations) and Chemical Health and Safety (3 citations). J. Schuppler has collaborated with scholars based in Switzerland. Frequent co-authors include Rolf Schulte‐Hermann, I. Timmermann-Trosiener, Gunthild Krey, F Gudat, P Cornu, B Speck, Wolfgang Remagen, H Lüthy, W Meier-Ruge and Mihatsch Mj. Their work appears in journals such as The Journal of Urology, Annals of Hematology and Research in Experimental Medicine.

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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