Mark Dulchavsky

404 citations
11 papers · 312 · h-index 7

Impact in

    • Alzheimer's disease research and treatments
    • Amyotrophic Lateral Sclerosis Research

Papers in

Mark Dulchavsky

10 papers receiving 308 citations

Peers

Mark Dulchavsky
Comparison fields: 5 of 66
  • Physiology 136
  • Neurology 61
  • Molecular Biology 229
  • Biomaterials 43
  • Cellular and Molecular Neuroscience 54
Replace David A. Hicks with:
David A. Hicks United Kingdom
Filippa Lo Cascio United States
Jinxia Lu China
Kavita Vats India
Pinaki Misra United States
Fabrizio Chiti Italy
Jessica S. Fortin United States
Smriti Sangwan United States
Jason C. Sang United Kingdom
Kevin Da Silva Canada
Mark Dulchavsky relative to David A. Hicks United Kingdom David A. Hicks's profile →
Citations per field
00.5×2.9×
David A. Hicks · 1×
Citations per year

Countries citing papers authored by Mark Dulchavsky

Since Specialization
Citations

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

Fields of papers citing papers by Mark Dulchavsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2017150
2 201842
3 201636
4 201633
5 202121
6 20239
7 20127
8 20226
9 20235
10 20223
11 20230

About Mark Dulchavsky

Mark Dulchavsky is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Cell Biology and Physiology, having authored 11 papers that have together received 312 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (3 papers), Mitochondrial Function and Pathology (3 papers), Alzheimer's disease research and treatments (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Microbial metabolism and enzyme function (2 papers), Hemoglobin structure and function (2 papers), Amino Acid Enzymes and Metabolism (2 papers) and Polyamine Metabolism and Applications (1 paper). The work is most often cited by research in Physiology (136 citations), Neurology (61 citations), Molecular Biology (229 citations), Biomaterials (43 citations) and Cellular and Molecular Neuroscience (54 citations). Mark Dulchavsky has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Magdalena I. Ivanova, Carmelo La Rosa, Kyle J. Korshavn, Mi Hee Lim, Yuxi Lin, Rongchun Zhang, Cristina Satriano, Anirban Bhunia, Young‐Ho Lee and Ayyalusamy Ramamoorthy. Their work appears in journals such as Journal of Biological Chemistry, Nature Chemical Biology, Materials Advances, Macromolecular Bioscience and Brain.

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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