Dino Marcus

1.2k citations
18 papers · 961 · h-index 13

Impact in

Papers in

Dino Marcus

18 papers receiving 933 citations

Peers

Dino Marcus
Comparison fields: 5 of 71
  • Pharmacology 664
  • Computational Theory and Mathematics 373
  • Plant Science 405
  • Biotechnology 57
  • Complementary and alternative medicine 52
Replace Sandino Estrada‐Mondaca with:
Sandino Estrada‐Mondaca France
Tyler W. H. Backman United States
Xian Liu China
Carlos E. Domenech Argentina
Joelma Freire De Mesquita Brazil
Yogesh T. Jasrai India
Jianchen Yu China
Irina Shin Israel
Terrone L. Rosenberry United States
Dino Marcus relative to Sandino Estrada‐Mondaca France Sandino Estrada‐Mondaca's profile →
Citations per field
00.5×2.9×
Sandino Estrada‐Mondaca · 1×
Citations per year

Countries citing papers authored by Dino Marcus

Since Specialization
Citations

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

Fields of papers citing papers by Dino Marcus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1993164
2 1994156
3 200288
4 199184
5 199570
6 199769
7 199268
8 199363
9 201049
10 199549
11 200438
12 200519
13 199118
14 200610
15
TAMe esterase activity of guinea-pig serum. II. Peptone inducible esterases.
19599
16
TAMe esterase activity of guinea pig serum. I. The plasmin system.
19595
17 19831
18
Production of carcinoembryonic antigen from a human colon adenocarcinoma cell line. I. Large-scale cultivation of carcinoembryonic antigen-producing cells on cylindric cellulose-based microcarriers.
19871

About Dino Marcus

Dino Marcus is a scholar working on Pharmacology, Molecular Biology, Computational Theory and Mathematics, Organic Chemistry and Plant Science, having authored 18 papers that have together received 961 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (10 papers), Computational Drug Discovery Methods (6 papers), Pesticide Exposure and Toxicity (3 papers), Glycosylation and Glycoproteins Research (2 papers), Chemical Reaction Mechanisms (2 papers), Electrochemical sensors and biosensors (1 paper), Hereditary Neurological Disorders (1 paper) and Environmental Toxicology and Ecotoxicology (1 paper). The work is most often cited by research in Pharmacology (664 citations), Computational Theory and Mathematics (373 citations), Plant Science (405 citations), Biotechnology (57 citations) and Complementary and alternative medicine (52 citations). Dino Marcus has collaborated with scholars based in Israel and United States. Frequent co-authors include Baruch Velan, Avigdor Shafferman, Arie Ordentlich, Yacov Ashani, Lily Raveh, Jacob Grunwald, Dov Barak, C. Kronman, Naomi Ariel and Yehoshua Gozes. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Gene, The Journal of Immunology and Infection and Immunity.

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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