Thomas B. Ladd

1.9k citations
31 papers · 1.2k · h-index 19

Impact in

  • Physiology top 2%
    • Alzheimer's disease research and treatments
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Alzheimer's disease research and treatments 23
    • Drug Transport and Resistance Mechanisms 7
    • Peptidase Inhibition and Analysis 3

Thomas B. Ladd

31 papers receiving 1.2k citations

Peers

Thomas B. Ladd
Comparison fields: 5 of 79
  • Physiology 695
  • Neurology 203
  • Biological Psychiatry 46
  • Pharmacology 212
  • Computational Theory and Mathematics 168
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Citations per field
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Citations per year

Countries citing papers authored by Thomas B. Ladd

Since Specialization
Citations

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

Fields of papers citing papers by Thomas B. Ladd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas B. Ladd. 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 Thomas B. Ladd. The network helps show where Thomas B. Ladd may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005228
2 2018109
3 201295
4 200674
5 200471
6 200864
7 201758
8 201158
9 200446
10 201240
11 200638
12 201530
13 201229
14 201328
15 201427
16 200526
17 201919
18 202118
19 201318
20 201417

About Thomas B. Ladd

Thomas B. Ladd is a scholar working on Physiology, Oncology, Molecular Biology, Pharmacology and Computational Theory and Mathematics, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (23 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Drug Transport and Resistance Mechanisms (7 papers), Computational Drug Discovery Methods (7 papers), Peptidase Inhibition and Analysis (3 papers), S100 Proteins and Annexins (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Physiology (695 citations), Neurology (203 citations), Biological Psychiatry (46 citations), Pharmacology (212 citations) and Computational Theory and Mathematics (168 citations). Thomas B. Ladd has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Todd E. Golde, Andrew C. Nyborg, Thomas Kukar, Edward H. Koo, Karen Jansen, Pritam Das, Abdul H. Fauq, Brenda D. Moore, Yong Ran and Pedro E. Cruz. Their work appears in journals such as Journal of Biological Chemistry, Molecular Neurodegeneration, Alzheimer s & Dementia, The FASEB Journal and PLoS ONE.

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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