Gary Schindelman

3.9k citations
21 papers · 2.4k · 2 hit papers · h-index 18

Impact in

  • Aging top 0.2%
    • Genetics, Aging, and Longevity in Model Organisms

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 12
    • Bioinformatics and Genomic Networks 5
    • Biomedical Text Mining and Ontologies 4
    • Microbial Metabolic Engineering and Bioproduction 3
    • CRISPR and Genetic Engineering 2

Gary Schindelman

19 papers receiving 2.4k citations

Gary Schindelman's Hit Papers

WormBase 2024: status and transitioning to Alliance infrastructure 2024 · 103 citations
1030+1+2Years since publication50100150

Peers

Gary Schindelman
Comparison fields: 5 of 119
  • Aging 741
  • Parasitology 175
  • Endocrine and Autonomic Systems 151
  • Molecular Biology 1.3k
  • Plant Science 611
Replace Karen Yook with:
Karen Yook United States
Ranjana Kishore United States
Juancarlos Chan United States
Wen J. Chen United States
Scott Cain United States
Cecilia Nakamura United States
Patrick T. McGrath United States
Mary Ann Tuli United Kingdom
Howard A. Baylis United Kingdom
Claude V. Maina United States
Gary Schindelman relative to Karen Yook United States Karen Yook's profile →
Citations per field
00.5×1.5×2.1×
Karen Yook · 1×
Citations per year

Countries citing papers authored by Gary Schindelman

Since Specialization
Citations

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

Fields of papers citing papers by Gary Schindelman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005307
2 2009297
3 2015277
4 2019216
5
WormBase in 2022—data, processes, and tools for analyzing Caenorhabditis elegans
Hit paper breakdown →
2022180
6 2011155
7 2002146
8 2013135
9 2017133
10
WormBase 2024: status and transitioning to Alliance infrastructure
Hit paper breakdown →
2024103
11 200676
12 200771
13 200770
14 202268
15 201165
16 202433
17 201233
18 200632
19 20144
20 20170

About Gary Schindelman

Gary Schindelman is a scholar working on Aging, Molecular Biology, Genetics, Endocrine and Autonomic Systems and Ecology, having authored 21 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (12 papers), Bioinformatics and Genomic Networks (5 papers), Biomedical Text Mining and Ontologies (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Microbial Community Ecology and Physiology (3 papers), Evolution and Genetic Dynamics (3 papers), Plant Molecular Biology Research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aging (741 citations), Parasitology (175 citations), Endocrine and Autonomic Systems (151 citations), Molecular Biology (1.3k citations) and Plant Science (611 citations). Gary Schindelman has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Philip N. Benfey, François Roudier, Rob DeSalle, Paul W. Sternberg, Regina Himmelspach, Anita G. Fernandez, Shuang Song, Miki Fujita, Geoffrey O. Wasteneys and Paul Dupree. Their work appears in journals such as Nucleic Acids Research, Genetics, BMC Bioinformatics, Journal of Computational Neuroscience and PLANT PHYSIOLOGY.

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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