Robert M. van Es

557 citations
14 papers · 283 · h-index 9

Impact in

  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms
    • Microtubule and mitosis dynamics

Papers in

    • Ubiquitin and proteasome pathways 3
    • Genomics and Chromatin Dynamics 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • DNA Repair Mechanisms 1
    • S100 Proteins and Annexins 1
    • Drug Transport and Resistance Mechanisms 2

Robert M. van Es

12 papers receiving 282 citations

Peers

Robert M. van Es
Comparison fields: 5 of 49
  • Aging 32
  • Cell Biology 65
  • Molecular Biology 197
  • Oncology 53
  • Biochemistry 11
Replace Jacob McClendon with:
Jacob McClendon United States
Goda Snieckute Denmark
Amanda Meppelink Netherlands
Richard M. Monaghan United Kingdom
Nick Hoogenraad Australia
Ines Köhler Sweden
Nao Shimizu Japan
Hsiao‐Jung Kao Taiwan
Xinzhu Deng United States
Alexander Beatty United States
Robert M. van Es relative to Jacob McClendon United States Jacob McClendon's profile →
Citations per field
00.5×
Jacob McClendon · 1×
Citations per year

Countries citing papers authored by Robert M. van Es

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. van Es

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert M. van Es. 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 M. van Es. The network helps show where Robert M. van Es may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201650
2 202041
3 201838
4 201736
5 202131
6 201825
7 201819
8 202011
9 20219
10 20198
11 20248
12 20207
13 20260
14 20260

About Robert M. van Es

Robert M. van Es is a scholar working on Molecular Biology, Oncology, Cell Biology, Surgery and Epidemiology, having authored 14 papers that have together received 283 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Microtubule and mitosis dynamics (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Vascular Malformations and Hemangiomas (2 papers), Genomics and Chromatin Dynamics (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), DNA Repair Mechanisms (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Aging (32 citations), Cell Biology (65 citations), Molecular Biology (197 citations), Oncology (53 citations) and Biochemistry (11 citations). Robert M. van Es has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Harmjan R. Vos, Boudewijn Burgering, Tobias B. Dansen, Marc Pagès-Gallego, Paulien E. Polderman, Amol Aher, Anna Akhmanova, Martijn J.M. Vromans, Susanne M.A. Lens and Ilya Grigoriev. Their work appears in journals such as Antioxidants, Molecular Cell, Hepatology Communications, Current Biology and Nature Structural & Molecular Biology.

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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