Michael Babich

494 citations
34 papers · 384 · h-index 12

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 6
    • Signaling Pathways in Disease 2
    • Nitric Oxide and Endothelin Effects 4
    • Erythrocyte Function and Pathophysiology 3

Michael Babich

32 papers receiving 371 citations

Peers

Michael Babich
Comparison fields: 5 of 81
  • Immunology and Allergy 33
  • Hematology 38
  • Molecular Biology 208
  • Cellular and Molecular Neuroscience 51
  • Cell Biology 40
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Citations per field
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Citations per year

Countries citing papers authored by Michael Babich

Since Specialization
Citations

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

Fields of papers citing papers by Michael Babich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199045
2 199642
3 198342
4 199136
5 199426
6 200423
7 198619
8 198919
9 199714
10 198714
11
Occult breast malignancy masquerading as acute hepatic failure.
201114
12 201512
13 199411
14 20009
15 20098
16 20198
17 20166
18 19896
19 19856
20
"Dios" y "Dioses" en el "Libro de Alexandre"
19994

About Michael Babich

Michael Babich is a scholar working on Molecular Biology, Physiology, Oncology, Pharmacology and Immunology, having authored 34 papers that have together received 384 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), Nitric Oxide and Endothelin Effects (4 papers), Bone health and treatments (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Signaling Pathways in Disease (2 papers) and Gastrointestinal Bleeding Diagnosis and Treatment (2 papers). The work is most often cited by research in Immunology and Allergy (33 citations), Hematology (38 citations), Molecular Biology (208 citations), Cellular and Molecular Neuroscience (51 citations) and Cell Biology (40 citations). Michael Babich has collaborated with scholars based in United States. Frequent co-authors include Robert A. Nissenson, Kathleen L. King, M T Piascik, Michael E. Rush, Michael T. Piascik, Raymond M. Quock, Randolph M. Johnson, Kerry L. Jacobson, James A. Radosevich and Mohammad Bilal. Their work appears in journals such as Life Sciences, Endocrinology, Journal of Cellular Biochemistry, Digestive Diseases and Sciences and The American Journal of Gastroenterology.

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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