Mary Sym

2.4k citations
9 papers · 2.0k · 2 hit papers · h-index 9

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Microtubule and mitosis dynamics

Papers in

    • DNA Repair Mechanisms 4
    • Genomics and Chromatin Dynamics 3
    • Fungal and yeast genetics research 2
    • Heat shock proteins research 1
    • Alzheimer's disease research and treatments 1

Mary Sym

9 papers receiving 2.0k citations

Mary Sym's Hit Papers

aph-1 and pen-2 Are Required for Notch Pathway Signaling, γ-Secretase Cleavage of βAPP, and Presenilin Protein Accumulation 2002 · 657 citations
6570+11+22Years since publication200400600

Peers

Mary Sym
Comparison fields: 5 of 75
  • Aging 248
  • Cell Biology 469
  • Physiology 532
  • Molecular Biology 1.5k
  • Endocrine and Autonomic Systems 66
Replace Diego E. Rincón-Limas with:
Diego E. Rincón-Limas United States
Joshua M. Shulman United States
Aaron Voigt Germany
Pedro Fernández-Fúnez United States
Laura Torroja Spain
Peter E.A. Ash United States
Jiou Wang United States
Felice Elefant United States
Michelle Leigh Steinhilb United States
Dominik Paquet Germany
Mary Sym relative to Diego E. Rincón-Limas United States Diego E. Rincón-Limas's profile →
Citations per field
00.5×3.7×
Diego E. Rincón-Limas · 1×
Citations per year

Countries citing papers authored by Mary Sym

Since Specialization
Citations

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

Fields of papers citing papers by Mary Sym

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
aph-1 and pen-2 Are Required for Notch Pathway Signaling, γ-Secretase Cleavage of βAPP, and Presenilin Protein Accumulation
Hit paper breakdown →
2002657
2
ZIP1 is a synaptonemal complex protein required for meiotic chromosome synapsis
Hit paper breakdown →
1993517
3 1994242
4 1995177
5 1995144
6 200077
7 199973
8 200357
9 200541

About Mary Sym

Mary Sym is a scholar working on Molecular Biology, Physiology, Aging, Cellular and Molecular Neuroscience and Cell Biology, having authored 9 papers that have together received 2.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Genomics and Chromatin Dynamics (3 papers), Fungal and yeast genetics research (2 papers), Alzheimer's disease research and treatments (1 paper), Biomedical Research and Pathophysiology (1 paper), Circadian rhythm and melatonin (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Aging (248 citations), Cell Biology (469 citations), Physiology (532 citations), Molecular Biology (1.5k citations) and Endocrine and Autonomic Systems (66 citations). Mary Sym has collaborated with scholars based in United States. Frequent co-authors include G. Shirleen Roeder, JoAnne Engebrecht, Cynthia Kenyon, Beth Rockmill, Harry Scherthan, Javier Apfeld, Jeffrey S. Nye, Mark E. Gurney, Michael C. Ellis and Ross S. Francis. Their work appears in journals such as Cell, Developmental Cell, Current Biology, Development and Genetics.

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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