Mark Hankin

1.7k citations
42 papers · 1.3k · h-index 19

Impact in

Papers in

Mark Hankin

39 papers receiving 1.2k citations

Peers

Mark Hankin
Comparison fields: 5 of 73
  • Developmental Neuroscience 295
  • Cellular and Molecular Neuroscience 562
  • Molecular Biology 861
  • Cell Biology 184
  • Neurology 83
Replace Huaiyu Hu with:
Huaiyu Hu United States
Federico Cremisi Italy
Anna La Torre United States
Deborah C. Otteson United States
Macrene Alexiades United States
Xiuqian Mu United States
J. S. H. Taylor United Kingdom
Robert Hindges United Kingdom
Andrea Wizenmann Germany
Amane Koizumi Japan
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Citations per field
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Citations per year

Countries citing papers authored by Mark Hankin

Since Specialization
Citations

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

Fields of papers citing papers by Mark Hankin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996429
2 200685
3 200185
4 198576
5 198756
6 198752
7 198837
8 199037
9 199836
10 200036
11 198835
12 199131
13 199025
14 198725
15 199424
16 199424
17 198623
18 200123
19 199020
20 199014

About Mark Hankin

Mark Hankin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biomedical Engineering, Developmental Neuroscience and Public Health, Environmental and Occupational Health, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Retinal Development and Disorders (23 papers), Neuroscience and Neuropharmacology Research (11 papers), Anatomy and Medical Technology (10 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Axon Guidance and Neuronal Signaling (7 papers), Innovations in Medical Education (6 papers), Neuroscience and Neural Engineering (5 papers) and Surgical Simulation and Training (4 papers). The work is most often cited by research in Developmental Neuroscience (295 citations), Cellular and Molecular Neuroscience (562 citations), Molecular Biology (861 citations), Cell Biology (184 citations) and Neurology (83 citations). Mark Hankin has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Raymond D. Lund, Daniel Goldman, Jerry Silver, Margit Burmeister, Mei-Ying Liang, Frank Hoover, Carl F. Lagenaur, Lynda Ploder, Vitauts I. Kalnins and Norman L. Hawes. Their work appears in journals such as The FASEB Journal, The Journal of Comparative Neurology, Brain Research, Anatomical Sciences Education and Developmental Brain Research.

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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