Robert A. Schulz

4.9k citations
65 papers · 4.0k · h-index 32

Impact in

Papers in

Robert A. Schulz

64 papers receiving 3.9k citations

Peers

Robert A. Schulz
Comparison fields: 5 of 97
  • Aging 176
  • Cellular and Molecular Neuroscience 1.4k
  • Immunology 1.1k
  • Molecular Biology 2.6k
  • Insect Science 439
Replace Casey Kopczynski with:
Casey Kopczynski United States
Yuchun He United States
Yasushi Hiromi Japan
Julie Agapite United States
Richard C. Binari United States
Erika L. Matunis United States
Alain Vincent France
Lisa C. Ryner United States
Martha Evans-Holm United States
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Citations per field
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Citations per year

Countries citing papers authored by Robert A. Schulz

Since Specialization
Citations

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

Fields of papers citing papers by Robert A. Schulz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000473
2 1995429
3 1995310
4 2003239
5 1995188
6 1996185
7 2001143
8 1999135
9 1997129
10 200389
11 200678
12 200278
13 200077
14
Expression of the D-MEF2 transcription in the Drosophila brain suggests a role in neuronal cell differentiation.
199675
15 200768
16 200065
17 200165
18 200564
19 200963
20 200159

About Robert A. Schulz

Robert A. Schulz is a scholar working on Immunology, Cellular and Molecular Neuroscience, Molecular Biology, Genetics and Insect Science, having authored 65 papers that have together received 4.0k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (31 papers), Neurobiology and Insect Physiology Research (24 papers), Developmental Biology and Gene Regulation (24 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers), Congenital heart defects research (10 papers), Insect symbiosis and bacterial influences (6 papers), Aquaculture disease management and microbiota (6 papers) and Physiological and biochemical adaptations (6 papers). The work is most often cited by research in Aging (176 citations), Cellular and Molecular Neuroscience (1.4k citations), Immunology (1.1k citations), Molecular Biology (2.6k citations) and Insect Science (439 citations). Robert A. Schulz has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Eric N. Olson, Kathleen M. Gajewski, Gogineni Ranganayakulu, Nancy Fossett, Tsuyoshi Tokusumi, Katherine E. Yutzey, Matthias Fischer, Bin Zhao, Martin Heisenberg and Troy Zars. Their work appears in journals such as Developmental Biology, genesis, Proceedings of the National Academy of Sciences, PLoS ONE and Development.

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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