Len Neckers

31.6k citations
248 papers · 24.9k indexed · 6 hit papers · h-index 85

Len Neckers

245 papers receiving 24.3k citations

Hit Papers

Targeting the dynamic HSP90 complex ...1.2k19892026200120134008001.2k

Peers

Len Neckers
Comparison fields: 5 of 158
  • Molecular Biology 19.4k
  • Cancer Research 3.0k
  • Immunology 4.0k
  • Cell Biology 3.0k
  • Aging 309
Replace William B. Pratt with:
William B. Pratt United States
Luke Whitesell United States
Jane B. Trepel United States
Marja Jäättelä Denmark
Matthias Gaestel Germany
Stuart K. Calderwood United States
Lorenzo A. Pinna Italy
Éric Solary France
David O. Toft United States
Emad S. Alnemri United States
Len Neckers relative to William B. Pratt United States William B. Pratt's profile →
Citations per field
00.5×3.7×
William B. Pratt · 1×
Citations per year

Countries citing papers authored by Len Neckers

Since Specialization
Citations

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

Fields of papers citing papers by Len Neckers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 201947
3 201888
4 201733
5 201547
6 201348
7 201266
8 201236
9 201156
10 201030
11 201025
12 200740
13 200733
14
HIF overexpression correlates with biallelic loss of fumarate hydratase in renal cancer: Novel role of fumarate in regulation of HIF stabilitybreakdown →
2005732
15
The heat shock protein 90 inhibitor geldanamycin and the ErbB inhibitor ZD1839 promote rapid PP1 phosphatase-dependent inactivation of AKT in ErbB2 overexpressing breast cancer cells.
200385
16 20032
17 2002195
18 1996226
19 199223
20 199282

About Len Neckers

Len Neckers is a scholar working on Molecular Biology, Immunology and Physical and Theoretical Chemistry, having authored 248 papers that have together received 24.9k indexed citations. Recurring topics across this work include Heat shock proteins research (115 papers), ATP Synthase and ATPases Research (33 papers), Ubiquitin and proteasome pathways (28 papers), Toxin Mechanisms and Immunotoxins (24 papers), Computational Drug Discovery Methods (22 papers), Protein Structure and Dynamics (21 papers), Enzyme Structure and Function (19 papers) and Cancer, Hypoxia, and Metabolism (18 papers). The work is most often cited by research in Molecular Biology (19.4k citations), Cancer Research (3.0k citations) and Immunology (4.0k citations). Len Neckers has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Jane B. Trepel, Edward G. Mimnaugh, Mehdi Mollapour, Wanping Xu, Jennifer S. Isaacs, Luke Whitesell, Giuseppe Giaccone, Sunmin Lee, Mikhail V. Blagosklonny and Shinji Tsutsumi. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Cell Cycle, Molecular and Cellular Biology 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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