David M. Lonard

7.9k citations
89 papers · 6.0k · h-index 38

Impact in

  • Genetics top 0.5%
    • Estrogen and related hormone effects
    • Ubiquitin and proteasome pathways
    • Retinoids in leukemia and cellular processes
    • RNA Research and Splicing
    • Protein Degradation and Inhibitors
    • Genomics and Chromatin Dynamics

Papers in

    • Ubiquitin and proteasome pathways 19
    • Protein Degradation and Inhibitors 12
    • Genomics and Chromatin Dynamics 9
    • Retinoids in leukemia and cellular processes 7
    • RNA Research and Splicing 7
    • Estrogen and related hormone effects 42

David M. Lonard

86 papers receiving 6.0k citations

Peers

David M. Lonard
Comparison fields: 5 of 115
  • Genetics 2.6k
  • Molecular Biology 3.8k
  • Oncology 1.3k
  • Cancer Research 669
  • Immunology 669
Replace Debabrata Chakravarti with:
Debabrata Chakravarti United States
Rainer B. Lanz United States
Jennifer K. Richer United States
Joseph Torchia Canada
A. Krust France
Lan Xu United States
Aria Baniahmad Germany
A. Raymond Frackelton United States
Shaun M. Cowley United Kingdom
Xiao Hu United States
David M. Lonard relative to Debabrata Chakravarti United States Debabrata Chakravarti's profile →
Citations per field
00.5×1.5×
Debabrata Chakravarti · 1×
Citations per year

Countries citing papers authored by David M. Lonard

Since Specialization
Citations

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

Fields of papers citing papers by David M. Lonard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Lonard. 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 David M. Lonard. The network helps show where David M. Lonard may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999499
2 2000475
3 2007371
4 1999361
5 2006250
6 2007225
7 2007221
8 2006216
9 2012202
10 2013185
11 2007181
12 2013154
13 2014146
14 2002135
15 2005130
16 2007113
17 2021101
18 2011100
19 201298
20 201387

About David M. Lonard

David M. Lonard is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Cancer Research, having authored 89 papers that have together received 6.0k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (42 papers), Ubiquitin and proteasome pathways (19 papers), Cytokine Signaling Pathways and Interactions (13 papers), Protein Degradation and Inhibitors (12 papers), Reproductive System and Pregnancy (9 papers), Genomics and Chromatin Dynamics (9 papers), Retinoids in leukemia and cellular processes (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Genetics (2.6k citations), Molecular Biology (3.8k citations), Oncology (1.3k citations), Cancer Research (669 citations) and Immunology (669 citations). David M. Lonard has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Bert W. O’Malley, Zafar Nawaz, Carolyn L. Smith, Sophia Y. Tsai, Ming‐Jer Tsai, Qin Feng, Rainer B. Lanz, C. Smith, Yang Yu and Xiaotao Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell, Molecular Endocrinology, PLoS ONE and Cancer 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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