Marian Seto

985 citations
13 papers · 834 · h-index 11

Impact in

Papers in

    • Biochemical and Structural Characterization 3
    • RNA and protein synthesis mechanisms 1
    • Blood Coagulation and Thrombosis Mechanisms 6

Marian Seto

13 papers receiving 801 citations

Peers

Marian Seto
Comparison fields: 5 of 77
  • Hematology 274
  • Internal Medicine 33
  • Immunology 200
  • Agronomy and Crop Science 82
  • Genetics 75
Replace Peder Lisby Nørby with:
Peder Lisby Nørby Denmark
Isaac J. Rondon United States
Y Mory Israel
Ariane de Agostini Switzerland
Vadim Markovtsov United States
Richard J. Jenny United States
Janet Stiernberg United States
Tomáš Cinek United States
Roberto González‐Amaro Mexico
Markus Duechler Poland
Marian Seto relative to Peder Lisby Nørby Denmark Peder Lisby Nørby's profile →
Citations per field
00.5×10×15×20.5×
Peder Lisby Nørby · 1×
Citations per year

Countries citing papers authored by Marian Seto

Since Specialization
Citations

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

Fields of papers citing papers by Marian Seto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2000261
2 1999231
3 1989118
4 199949
5 199833
6 199532
7 199930
8 200825
9 199521
10 200419
11 200310
12 19894
13 19991

About Marian Seto

Marian Seto is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Genetics, having authored 13 papers that have together received 834 indexed citations. Recurring topics across this work include Blood Coagulation and Thrombosis Mechanisms (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Peptidase Inhibition and Analysis (3 papers), Biochemical and Structural Characterization (3 papers), Toxin Mechanisms and Immunotoxins (2 papers), Protease and Inhibitor Mechanisms (2 papers), Cytokine Signaling Pathways and Interactions (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Hematology (274 citations), Internal Medicine (33 citations), Immunology (200 citations), Agronomy and Crop Science (82 citations) and Genetics (75 citations). Marian Seto has collaborated with scholars based in United States, Bulgaria and Germany. Frequent co-authors include John Morser, Qingyu Wu, Wei Yan, Ning Sheng, David R. Light, Rene Pagila, Terence K. Brunck, David LaRocca, Robert Huber and Pablo Fuentes‐Prior. Their work appears in journals such as Journal of Biological Chemistry, Protein Science, Proteins Structure Function and Bioinformatics, Biochemical and Biophysical Research Communications and Nature.

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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