J. E. Schultz

2.4k citations
23 papers · 2.1k · h-index 12

Impact in

    • Escherichia coli research studies
    • Vibrio bacteria research studies
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology

Papers in

J. E. Schultz

21 papers receiving 1.9k citations

Peers

J. E. Schultz
Comparison fields: 5 of 123
  • Endocrinology 431
  • Genetics 659
  • Biotechnology 177
  • Infectious Diseases 319
  • Molecular Medicine 77
Replace Anamitra Bhattacharyya with:
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Antonio Tormo Spain
Claude Gutierrez France
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María Mercedes Zambrano Colombia
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Ralf Heermann Germany
Elie Dassa France
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Guillermo Mendoza‐Hernández Mexico
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Citations per field
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Citations per year

Countries citing papers authored by J. E. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by J. E. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988423
2 1987414
3 1989288
4 1986233
5 1993144
6 1991128
7 1982118
8 1978109
9 1988104
10 197947
11 199041
12 198515
13 19785
14 19883
15 19823
16 20252
17 20252
18 20142
19 19821
20 19861

About J. E. Schultz

J. E. Schultz is a scholar working on Genetics, Molecular Medicine, Endocrinology, Molecular Biology and Insect Science, having authored 23 papers that have together received 2.1k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Protein Structure and Dynamics (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Plant and animal studies (2 papers), Escherichia coli research studies (2 papers), Antibiotic Resistance in Bacteria (2 papers), Insect and Pesticide Research (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Endocrinology (431 citations), Genetics (659 citations), Biotechnology (177 citations), Infectious Diseases (319 citations) and Molecular Medicine (77 citations). J. E. Schultz has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Abdul Matin, A. Matin, Darlene E. Jenkins, John A. Breznak, Paul Blum, Elizabeth A. Auger, Nicklas Strömberg, Alf A. Lindberg, J. EDWARD BROWN and K.‐A. Karlsson. Their work appears in journals such as Journal of Bacteriology, Applied and Environmental Microbiology, Frontiers in Bioengineering and Biotechnology, Journal of Molecular Biology 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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