D. D. Mikol

472 total citations
9 papers, 395 citations indexed

About

D. D. Mikol is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Neurology. According to data from OpenAlex, D. D. Mikol has authored 9 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 3 papers in Neurology. Recurrent topics in D. D. Mikol's work include Multiple Sclerosis Research Studies (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Peripheral Neuropathies and Disorders (2 papers). D. D. Mikol is often cited by papers focused on Multiple Sclerosis Research Studies (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Peripheral Neuropathies and Disorders (2 papers). D. D. Mikol collaborates with scholars based in United States and United Kingdom. D. D. Mikol's co-authors include Kāri Stefánsson, Jeffrey R. Gulcher, Michelle M. Le Beau, Maria Lopez-Bresnahan, Peter Chang, Rafael Espinosa, Bart C. Weimer, David M. White, R.S. Lemons and Carlo Tornatore and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Neurology.

In The Last Decade

D. D. Mikol

9 papers receiving 383 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. D. Mikol United States 6 127 122 109 98 83 9 395
R. Gold Germany 12 112 0.9× 70 0.6× 103 0.9× 18 0.2× 180 2.2× 20 448
Marc Lamarine Switzerland 8 24 0.2× 166 1.4× 159 1.5× 25 0.3× 95 1.1× 10 467
A. Rocchini United States 5 63 0.5× 184 1.5× 70 0.6× 19 0.2× 44 0.5× 5 431
Friederike Frommer Germany 9 41 0.3× 138 1.1× 108 1.0× 81 0.8× 30 0.4× 9 581
Y.K Semra United Kingdom 14 36 0.3× 255 2.1× 258 2.4× 29 0.3× 121 1.5× 19 606
Μαρία Καραμίτα Greece 7 42 0.3× 78 0.6× 62 0.6× 59 0.6× 25 0.3× 10 288
Kiichiro Beppu Japan 8 57 0.4× 159 1.3× 31 0.3× 24 0.2× 58 0.7× 16 360
Svetlana Baranovskaya United States 9 63 0.5× 288 2.4× 102 0.9× 11 0.1× 21 0.3× 10 492
Sam Loveless United Kingdom 8 23 0.2× 89 0.7× 207 1.9× 38 0.4× 81 1.0× 10 406
S. Weerth Germany 5 49 0.4× 85 0.7× 206 1.9× 27 0.3× 77 0.9× 6 443

Countries citing papers authored by D. D. Mikol

Since Specialization
Citations

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

Fields of papers citing papers by D. D. Mikol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. D. Mikol

This figure shows the co-authorship network connecting the top 25 collaborators of D. D. Mikol. A scholar is included among the top collaborators of D. D. Mikol 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 D. D. Mikol. D. D. Mikol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Cano, Stefan, Sophie Cleanthous, Patrick Marquis, et al.. (2015). Measuring Upper Limb Function In Multiple Sclerosis: Enhancing The Abilhand’s Performance. Value in Health. 18(3). A24–A24. 4 indexed citations
2.
Cano, SJ, Sophie Cleanthous, P. M. Marquis, et al.. (2015). Measuring the Impact of Multiple Sclerosis: Enhancing the Performance of the Msis-29 and Msws-12. Value in Health. 18(7). A709–A710. 1 indexed citations
3.
Cano, Stefan, Sophie Cleanthous, Patrick Marquis, et al.. (2015). Measuring the Impact of Secondary Progressive Multiple Sclerosis (Spms) in the Ascend Trial: Equating the Msis-29, Msws-12, Abilhand-56 and Sf-36. Value in Health. 18(7). A713–A713. 1 indexed citations
5.
Cohen, Bruce A., Omar Khan, Douglas Jeffery, et al.. (2004). Identifying and treating patients with suboptimal responses. Neurology. 63(12_suppl_6). S33–40. 46 indexed citations
6.
White, David M., D. D. Mikol, Rafael Espinosa, et al.. (1992). Structure and chromosomal localization of the human gene for a brain form of prostaglandin D2 synthase. Journal of Biological Chemistry. 267(32). 23202–23208. 50 indexed citations
7.
Mikol, D. D., et al.. (1990). Structure and chromosomal localization of the gene for the oligodendrocyte-myelin glycoprotein.. The Journal of Cell Biology. 111(6). 2673–2679. 24 indexed citations
8.
Mikol, D. D., Jeffrey R. Gulcher, & Kāri Stefánsson. (1990). The oligodendrocyte-myelin glycoprotein belongs to a distinct family of proteins and contains the HNK-1 carbohydrate.. The Journal of Cell Biology. 110(2). 471–479. 129 indexed citations
9.
Mikol, D. D. & Kāri Stefánsson. (1988). A phosphatidylinositol-linked peanut agglutinin-binding glycoprotein in central nervous system myelin and on oligodendrocytes.. The Journal of Cell Biology. 106(4). 1273–1279. 89 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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