S. Scharf

5.3k citations
16 papers · 3.3k indexed · 2 hit papers · h-index 13

S. Scharf

16 papers receiving 3.1k citations

Hit Papers

Enzymatic amplification of beta-globin genomic sequences ...362198620261999201250010001.5k2.0k

Peers

S. Scharf
Comparison fields: 5 of 156
  • Genetics 927
  • Immunology 472
  • Molecular Biology 1.5k
  • Parasitology 85
  • Ecology 302
Replace Harry Rubin with:
Harry Rubin United States
H. Rubin United States
David J. Brigati United States
Leslie A. Mitchell Canada
Harold Swerdlow United States
Vittorio Defendi United States
G. Eric Blair United Kingdom
Stephen J. Prowse Australia
R. R. Watson United States
G K McMaster Switzerland
S. Scharf relative to Harry Rubin United States Harry Rubin's profile →
Citations per field
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Harry Rubin · 1×
Citations per year

Countries citing papers authored by S. Scharf

Since Specialization
Citations

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

Fields of papers citing papers by S. Scharf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 19941
2
Analysis of HLA class II polymorphism using polymerase chain reaction.
199320
3
Specific enzymatic amplification of DNA in vitro: the polymerase chain reaction. 1986.
199254
4
Enzymatic amplification of beta-globin genomic sequences and restriction site analysis for diagnosis of sickle cell anemia. 1985.breakdown →
1992362
5
Amplification and characterization of the retinoblastoma gene VNTR by PCR.
199213
6 199142
7 1991161
8 1989224
9 198994
10
SPECIFIC HLA-DQB AND HLADRB1 ALLELES CONFER SUSCEPTIBILITY TO PEMFIGUS VULGARIS
19891
11 1988168
12 198812
13
Specific Enzymatic Amplification of DNA In Vitro: The Polymerase Chain Reactionbreakdown →
19862064
14 198268
15 198218
16 19776

About S. Scharf

S. Scharf is a scholar working on Transplantation, Hematology and Biotechnology, having authored 16 papers that have together received 3.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Molecular Biology Techniques and Applications (2 papers), Autoimmune Bullous Skin Diseases (2 papers), Diabetes and associated disorders (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Enzyme Production and Characterization (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Genetics (927 citations), Immunology (472 citations) and Molecular Biology (1.5k citations). S. Scharf has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include Randall K. Saiki, Glenn T. Horn, Kary B. Mullis, Norman Arnheim, H.A. Erlich, David M. Ogrydziak, Lawrence Steinman, Chaim Brautbar, M J Sheehy and Louise Meske. Their work appears in journals such as Microbiology, Human Immunology, Proceedings of the National Academy of Sciences, FEBS Letters and Immunogenetics.

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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