Steven Lynham

2.5k citations
53 papers · 1.5k · h-index 18

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Physiology top 5%
    • Alzheimer's disease research and treatments

Papers in

    • Ubiquitin and proteasome pathways 4
    • 14-3-3 protein interactions 2
    • Alzheimer's disease research and treatments 9

Steven Lynham

49 papers receiving 1.5k citations

Peers

Steven Lynham
Comparison fields: 5 of 107
  • Virology 107
  • Physiology 402
  • Biological Psychiatry 34
  • Neurology 91
  • Molecular Biology 726
Replace Helen L. Byers with:
Helen L. Byers United Kingdom
Aldo Jongejan Netherlands
Claudius Mueller United States
Silvana Zanlungo Chile
Shouki Kassis United States
Abraham O. Samson Israel
Jifa Zhang China
Sarah E. Gale United States
Steven A. Rich United States
Steven Lynham relative to Helen L. Byers United Kingdom Helen L. Byers's profile →
Citations per field
00.5×1.5×2×2.3×
Helen L. Byers · 1×
Citations per year

Countries citing papers authored by Steven Lynham

Since Specialization
Citations

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

Fields of papers citing papers by Steven Lynham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006370
2 2006236
3 201287
4 201279
5 201966
6 201659
7 201659
8 201155
9 201354
10 202452
11 200741
12 201629
13 201724
14 201024
15 202118
16 200818
17 201918
18 201817
19 202316
20 202116

About Steven Lynham

Steven Lynham is a scholar working on Molecular Biology, Physiology, Cell Biology, Immunology and Infectious Diseases, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Ubiquitin and proteasome pathways (4 papers), Nerve injury and regeneration (3 papers), Inhalation and Respiratory Drug Delivery (2 papers), Microtubule and mitosis dynamics (2 papers), 14-3-3 protein interactions (2 papers), Force Microscopy Techniques and Applications (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Virology (107 citations), Physiology (402 citations), Biological Psychiatry (34 citations), Neurology (91 citations) and Molecular Biology (726 citations). Steven Lynham has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Malcolm Ward, Helen L. Byers, Abdul Hye, Simon Lovestone, Michael H. Malim, Sarah Gallois‐Montbrun, Chad M. Swanson, Beatrice Kramer, Madhav Thambisetty and Claudie Hooper. Their work appears in journals such as Journal of Alzheimer s Disease, Biochemical Journal, Journal of Medical Microbiology, Journal of Cell Science and Nanomedicine Nanotechnology Biology and Medicine.

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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