S. Rolland

1.6k citations
55 papers · 1.2k · h-index 17

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease

Papers in

S. Rolland

55 papers receiving 1.1k citations

Peers

S. Rolland
Comparison fields: 5 of 98
  • Aging 203
  • Cell Biology 181
  • Molecular Biology 673
  • Clinical Biochemistry 61
  • Biophysics 31
Replace Zhengchang Liu with:
Zhengchang Liu United States
Atsushi Fujita Japan
Julius B. Kirkegaard Denmark
Jeong Hoon Cho South Korea
Wendy Hanna‐Rose United States
Hitoshi Suda Japan
Youhei Saito Japan
Jinke Gu China
Lena K. Schroeder United States
Åsa Birna Birgisdottir Norway
S. Rolland relative to Zhengchang Liu United States Zhengchang Liu's profile →
Citations per field
00.5×10×15.5×
Zhengchang Liu · 1×
Citations per year

Countries citing papers authored by S. Rolland

Since Specialization
Citations

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

Fields of papers citing papers by S. Rolland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019128
2 201491
3 200388
4 200982
5 201066
6 201359
7 200657
8 202051
9 198748
10 201046
11 200941
12 202038
13 201134
14 202026
15 201925
16 201522
17 200618
18 198816
19 198915
20 197313

About S. Rolland

S. Rolland is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Aging and Cell Biology, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Semiconductor Detectors and Materials (22 papers), Mitochondrial Function and Pathology (18 papers), Semiconductor Quantum Structures and Devices (13 papers), Chalcogenide Semiconductor Thin Films (13 papers), Genetics, Aging, and Longevity in Model Organisms (11 papers), ATP Synthase and ATPases Research (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Optical properties and cooling technologies in crystalline materials (4 papers). The work is most often cited by research in Aging (203 citations), Cell Biology (181 citations), Molecular Biology (673 citations), Clinical Biochemistry (61 citations) and Biophysics (31 citations). S. Rolland has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Barbara Conradt, R. Granger, Saroj G. Regmi, Christophe Bruel, Yun Lu, R. Triboulet, Charles N. David, Christian Fischer, C. Pelletier and B. Toulouse. Their work appears in journals such as Journal of Crystal Growth, physica status solidi (b), Physics Letters A, Proceedings of the National Academy of Sciences and Semiconductor Science and Technology.

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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