S B Baim

706 citations
8 papers · 640 · h-index 8

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Fungal and yeast genetics research
    • Viral Infectious Diseases and Gene Expression in Insects
    • RNA Interference and Gene Delivery
    • CRISPR and Genetic Engineering
  • Genetics top 10%
    • Virus-based gene therapy research

Papers in

    • RNA and protein synthesis mechanisms 3
    • RNA Research and Splicing 3
    • Fungal and yeast genetics research 2
    • RNA Interference and Gene Delivery 2
    • Heat shock proteins research 2
    • Bacterial Genetics and Biotechnology 2

S B Baim

8 papers receiving 619 citations

Peers

S B Baim
Comparison fields: 5 of 49
  • Molecular Biology 565
  • Genetics 228
  • Biotechnology 33
  • Oncology 79
  • Infectious Diseases 38
Replace Philip A. Jennings with:
Philip A. Jennings Australia
J. Antonie Maassen Netherlands
Jonathan A. Atwater United States
J S Lai United States
Janet Chusainow Singapore
Linda J. Wallace United States
Tracy Nissan Sweden
Victor S. Mikhailov Russia
Sophie Boguslawski United States
Giorgos Dimitriadis Greece
S B Baim relative to Philip A. Jennings Australia Philip A. Jennings's profile →
Citations per field
00.5×2.8×
Philip A. Jennings · 1×
Citations per year

Countries citing papers authored by S B Baim

Since Specialization
Citations

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

Fields of papers citing papers by S B Baim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside S B Baim, 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 B Baim Line = papers co-authored together S B Baim links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1988148
2 1990128
3 1985127
4 199088
5 199046
6 198541
7 198740
8 198722

About S B Baim

S B Baim is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 8 papers that have together received 640 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers), Bacterial Genetics and Biotechnology (2 papers), Fungal and yeast genetics research (2 papers), RNA Interference and Gene Delivery (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Heat shock proteins research (2 papers) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Molecular Biology (565 citations), Genetics (228 citations), Biotechnology (33 citations), Oncology (79 citations) and Infectious Diseases (38 citations). S B Baim has collaborated with scholars based in United States. Frequent co-authors include Fred Sherman, Thomas Shenk, David C. Eustice, D F Pietras, David A. Ornelles, Matthew J. Marton, Mark Labow, Arnold J. Levine, Jerome Schaack and Mary Moore. Their work appears in journals such as Molecular and Cellular Biology, Journal of Virology and Journal of Biological Chemistry.

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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