C. Semino–Mora

1.1k total citations
9 papers, 805 citations indexed

About

C. Semino–Mora is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, C. Semino–Mora has authored 9 papers receiving a total of 805 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Surgery. Recurrent topics in C. Semino–Mora's work include Muscle Physiology and Disorders (3 papers), Skin and Cellular Biology Research (2 papers) and RNA regulation and disease (2 papers). C. Semino–Mora is often cited by papers focused on Muscle Physiology and Disorders (3 papers), Skin and Cellular Biology Research (2 papers) and RNA regulation and disease (2 papers). C. Semino–Mora collaborates with scholars based in United States and Australia. C. Semino–Mora's co-authors include Marinos C. Dalakas, Lev G. Goldfarb, Kyeyoon Park, Larisa Červen̆áková, Kumaraswamy Sivakumar, Hee-Suk Lee, Olavo M. Vasconcelos, James W. Nagle, Svetlana Gorokhova and Kei Amemiya and has published in prestigious journals such as Nature Genetics, Brain and Neurology.

In The Last Decade

C. Semino–Mora

9 papers receiving 787 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
C. Semino–Mora United States	8	484	274	243	154	152	9	805
Pilar Camaño Spain	11	1.1k 2.2×	254 0.9×	60 0.2×	183 1.2×	77 0.5×	22	1.3k
Rabah Ben Yaou France	23	1.8k 3.7×	562 2.1×	309 1.3×	173 1.1×	53 0.3×	66	2.1k
Shin Fujimoto Japan	16	232 0.5×	100 0.4×	54 0.2×	68 0.4×	148 1.0×	32	670
Adolf Pou Spain	13	374 0.8×	73 0.3×	58 0.2×	89 0.6×	120 0.8×	14	638
C. Sewry United Kingdom	13	364 0.8×	134 0.5×	87 0.4×	93 0.6×	24 0.2×	33	455
Mei Chen United States	9	468 1.0×	59 0.2×	164 0.7×	54 0.4×	230 1.5×	12	811
Hans‐Hilmar Goebel Germany	17	375 0.8×	60 0.2×	91 0.4×	144 0.9×	111 0.7×	44	769
Lauren M. Goddard United States	8	396 0.8×	69 0.3×	163 0.7×	36 0.2×	204 1.3×	9	868
Yiming Zheng China	13	375 0.8×	109 0.4×	28 0.1×	133 0.9×	78 0.5×	49	580
Elisabetta Mattioli Italy	26	1.8k 3.8×	122 0.4×	333 1.4×	71 0.5×	20 0.1×	52	2.0k

Countries citing papers authored by C. Semino–Mora

Since Specialization

Citations

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

Fields of papers citing papers by C. Semino–Mora

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Semino–Mora. 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 C. Semino–Mora. The network helps show where C. Semino–Mora may publish in the future.

Co-authorship network of co-authors of C. Semino–Mora

This figure shows the co-authorship network connecting the top 25 collaborators of C. Semino–Mora. A scholar is included among the top collaborators of C. Semino–Mora based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. Semino–Mora. C. Semino–Mora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Liu, Hui, C. Semino–Mora, & André Dubois. (2012). Mechanism of H. pylori Intracellular Entry: An in vitro Study. Frontiers in Cellular and Infection Microbiology. 2. 13–13. 19 indexed citations

2.

Raju, Raghavan, Goran Rakočević, Zhao Chen, et al.. (2006). Autoimmunity to GABAA-receptor-associated protein in stiff-person syndrome. Brain. 129(12). 3270–3276. 84 indexed citations

3.

Semino–Mora, C., et al.. (2002). H-pylori infection decreases expression of normal (MUC5AC) and increases expression of precancerous (MUC2) apomucins in non human primates (vol 49, pg 809, 2001). Lund University Publications (Lund University). 1 indexed citations

4.

Amemiya, Kei, et al.. (2000). Downregulation of TGF-β1 mRNA and Protein in the Muscles of Patients with Inflammatory Myopathies after Treatment with High-Dose Intravenous Immunoglobulin. Clinical Immunology. 94(2). 99–104. 97 indexed citations

5.

Dalakas, Marinos C., et al.. (2000). Sporadic cardiac and skeletal myopathy caused by a de novo desmin mutation. Clinical Genetics. 57(6). 423–429. 33 indexed citations

6.

Scacheri, Peter C., Eric P. Hoffman, Jonathan D. Fratkin, et al.. (2000). A novel ryanodine receptor gene mutation causing both cores and rods in congenital myopathy. Neurology. 55(11). 1689–1696. 112 indexed citations

7.

Goldfarb, Lev G., Kyeyoon Park, Larisa Červen̆áková, et al.. (1998). Missense mutations in desmin associated with familial cardiac and skeletal myopathy. Nature Genetics. 19(4). 402–403. 381 indexed citations

8.

Weiss, Michael D., Carlos A. Luciano, C. Semino–Mora, Marinos C. Dalakas, & Richard H. Quarles. (1998). Molecular mimicry in chronic inflammatory demyelinating polyneuropathy and melanoma. Neurology. 51(6). 1738–1741. 61 indexed citations

9.

Semino–Mora, C., et al.. (1997). Mitochondrial and cellular toxicity induced by fialuridine in human muscle in vitro.. PubMed. 76(4). 487–95. 17 indexed citations

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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