Robert J. Bloom

429 citations
12 papers · 359 · h-index 8

Impact in

Papers in

    • Steroid Chemistry and Biochemistry 2
    • Microbial metabolism and enzyme function 2
    • Metabolomics and Mass Spectrometry Studies 2
    • Microbial Metabolic Engineering and Bioproduction 2
    • Eicosanoids and Hypertension Pharmacology 2

Robert J. Bloom

11 papers receiving 331 citations

Peers

Robert J. Bloom
Comparison fields: 5 of 77
  • Gastroenterology 38
  • Biochemistry 45
  • Cellular and Molecular Neuroscience 110
  • Endocrine and Autonomic Systems 24
  • Endocrinology, Diabetes and Metabolism 57
Replace Akima Miyoshi with:
Akima Miyoshi Japan
Hitoshi Maegawa Japan
David P. Blakeman United States
Morris L. Givner Canada
Stephanie M. Busque Switzerland
R.A. Podevin France
Bernadette Wallendorff Canada
M. Hutzel Germany
B. Rademaker Netherlands
Hiromi Sugimoto Japan
Robert J. Bloom relative to Akima Miyoshi Japan Akima Miyoshi's profile →
Citations per field
00.5×1.5×1.8×
Akima Miyoshi · 1×
Citations per year

Countries citing papers authored by Robert J. Bloom

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Bloom

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Bloom. 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 Robert J. Bloom. The network helps show where Robert J. Bloom may publish in the future.

Co-authors

The 7 scholars most cited alongside Robert J. Bloom, 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 Robert J. Bloom Line = papers co-authored together Robert J. Bloom links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1982220
2 197125
3 197220
4 195919
5 197017
6 196816
7 196613
8 19578
9 19817
10 19667
11 19726
12 19661

About Robert J. Bloom

Robert J. Bloom is a scholar working on Molecular Biology, Biochemistry, Materials Chemistry, Pathology and Forensic Medicine and Nutrition and Dietetics, having authored 12 papers that have together received 359 indexed citations. Recurring topics across this work include Enzyme Structure and Function (3 papers), Steroid Chemistry and Biochemistry (2 papers), Alcohol Consumption and Health Effects (2 papers), Microbial metabolism and enzyme function (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Fatty Acid Research and Health (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Gastroenterology (38 citations), Biochemistry (45 citations), Cellular and Molecular Neuroscience (110 citations), Endocrine and Autonomic Systems (24 citations) and Endocrinology, Diabetes and Metabolism (57 citations). Robert J. Bloom has collaborated with scholars based in United States. Frequent co-authors include Rong Long, W.W. Westerfeld, Dan A. Richert, Thomas W. Okita, Thomas A. Grover, N P Kubasik and Robert Y. Hsu. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, Clinical Biochemistry and Biochemical and Biophysical Research Communications.

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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