Marcel Rolland

852 citations
30 papers · 767 indexed · h-index 16

Impact in

Papers in

Marcel Rolland

30 papers receiving 697 citations

Peers

Marcel Rolland
Comparison fields: 5 of 76
  • Endocrinology, Diabetes and Metabolism 424
  • Cell Biology 140
  • Spectroscopy 110
  • Animal Science and Zoology 50
  • Molecular Biology 310
Replace G.A. Puca with:
G.A. Puca Italy
Junji Emura Japan
J C Ring United States
Senmaw Fang United States
Benjamin B. Zeitman United States
Robert W. Boesel United States
Howard Brandt United States
Friedrich C. Dalman United States
Tito Ureta Chile
Susan M. Cutfield New Zealand
Marcel Rolland relative to G.A. Puca Italy G.A. Puca's profile →
Citations per field
00.5×3.7×
G.A. Puca · 1×
Citations per year

Countries citing papers authored by Marcel Rolland

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Rolland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 15 scholars most cited alongside Marcel 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 Marcel Rolland Line = papers co-authored together Marcel Rolland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 198615
2 198414
3 198338
4 198333
5 198315
6 19817
7 197914
8 197821
9 197758
10 197513
11 197342
12 197243
13 197024
14
[Amino acid composition of thyroglobulin from different animal species].
196631
15 19663
16
[Amino acid composition of thyroglobulin from euthyroid and goitrous subjects].
19667
17
[MICROHETEROGENEITY OF THYROGLOBULIN. CHROMATOGRAPHICAL PURIFICATION ON DEAE-CELLULOSE AND INTERPRETATION].
196439
18 196232
19 196214
20 196215

About Marcel Rolland

Marcel Rolland is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Biotechnology, Animal Science and Zoology and Endocrine and Autonomic Systems, having authored 30 papers that have together received 767 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (20 papers), Peptidase Inhibition and Analysis (4 papers), Glycosylation and Glycoproteins Research (2 papers), Calpain Protease Function and Regulation (2 papers), Neonatal Health and Biochemistry (2 papers), melanin and skin pigmentation (2 papers), Hemoglobin structure and function (2 papers) and Biochemical and biochemical processes (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (424 citations), Cell Biology (140 citations), Spectroscopy (110 citations), Animal Science and Zoology (50 citations) and Molecular Biology (310 citations). Marcel Rolland has collaborated with scholars based in France and United States. Frequent co-authors include Serge Lissitzky, Claudine Marriq, J Bismuth, R Aquaron, Pierre-Jean Lejeune, M Roques, Janine Torrésani, Simone Bouchilloux, J Fondarai and Jean Mauchamp. Their work appears in journals such as FEBS Letters, European Journal of Biochemistry, Analytical Biochemistry, European Journal of Endocrinology and Biochemical and Biophysical Research Communications.

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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