Tim Schedl

11.5k citations
108 papers · 8.4k · 2 hit papers · h-index 51

Impact in

Papers in

Tim Schedl

106 papers receiving 8.2k citations

Tim Schedl's Hit Papers

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

Peers

Tim Schedl
Comparison fields: 5 of 136
  • Aging 4.2k
  • Endocrine and Autonomic Systems 1.0k
  • Molecular Biology 4.5k
  • Public Health, Environmental and Occupational Health 1.7k
  • Cell Biology 810
Replace Jonathan Hodgkin with:
Jonathan Hodgkin United Kingdom
Susan Strome United States
David Hirsh United States
Min Jeong Han United States
James R Priess United States
Valerie reinke United States
Ronald E. Ellis United States
Kenneth J. Kemphues United States
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Tim Schedl relative to Jonathan Hodgkin United Kingdom Jonathan Hodgkin's profile →
Citations per field
00.5×2×2.9×
Jonathan Hodgkin · 1×
Citations per year

Countries citing papers authored by Tim Schedl

Since Specialization
Citations

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

Fields of papers citing papers by Tim Schedl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001488
2 1999417
3 2001347
4 2008322
5 1995311
6 2012295
7 2015277
8 1996240
9 1997229
10 2019216
11 1997214
12 2009195
13
WormBase in 2022—data, processes, and tools for analyzing Caenorhabditis elegans
Hit paper breakdown →
2022180
14 2005173
15 2011173
16 1995163
17 2007159
18 2000138
19 2003136
20 2013135

About Tim Schedl

Tim Schedl is a scholar working on Aging, Public Health, Environmental and Occupational Health, Molecular Biology, Endocrine and Autonomic Systems and Cell Biology, having authored 108 papers that have together received 8.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (67 papers), Reproductive Biology and Fertility (29 papers), CRISPR and Genetic Engineering (14 papers), Pluripotent Stem Cells Research (14 papers), Circadian rhythm and melatonin (12 papers), Microtubule and mitosis dynamics (9 papers), Epigenetics and DNA Methylation (7 papers) and Slime Mold and Myxomycetes Research (6 papers). The work is most often cited by research in Aging (4.2k citations), Endocrine and Autonomic Systems (1.0k citations), Molecular Biology (4.5k citations), Public Health, Environmental and Occupational Health (1.7k citations) and Cell Biology (810 citations). Tim Schedl has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Ross S. Francis, Thanh D. Dang, James P. McCarter, Dave Hansen, Bart M. Bartlett, Sudhir Nayak, Qiang Wang, Minho Lee, Kelle H. Moley and Judith E. Kimble. Their work appears in journals such as Genetics, Development, Developmental Biology, Cell and Nucleic Acids Research.

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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