David B. Shackelford

12.0k total citations · 3 hit papers
36 papers, 8.7k citations indexed

About

David B. Shackelford is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David B. Shackelford has authored 36 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 16 papers in Cancer Research and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David B. Shackelford's work include Cancer, Hypoxia, and Metabolism (14 papers), Metabolism, Diabetes, and Cancer (8 papers) and Lung Cancer Treatments and Mutations (7 papers). David B. Shackelford is often cited by papers focused on Cancer, Hypoxia, and Metabolism (14 papers), Metabolism, Diabetes, and Cancer (8 papers) and Lung Cancer Treatments and Mutations (7 papers). David B. Shackelford collaborates with scholars based in United States, Germany and Israel. David B. Shackelford's co-authors include Reuben J. Shaw, Debbie S. Vasquez, Maria M. Mihaylova, Dana M. Gwinn, Benjamin E. Turk, Annabelle Méry, William B. Mair, Andrew Dillin, Malene Hansen and Benoı̂t Viollet and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David B. Shackelford

36 papers receiving 8.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AMPK Phosphorylation of Raptor Mediates a Metabolic Checkpoint

2008 3.0k citations Dana M. Gwinn, David B. Shackelford et al. Molecular Cell profile →
Phosphorylation of ULK1 (hATG1) by AMP-Activated Protein Kinase Connects Energy Sensing to Mitophagy

2010 2.0k citations David B. Shackelford, Maria M. Mihaylova et al. Science profile →
The LKB1–AMPK pathway: metabolism and growth control in tumour suppression

2009 1.5k citations David B. Shackelford, Reuben J. Shaw profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David B. Shackelford United States	23	6.1k	2.7k	1.8k	1.2k	983	36	8.7k
Leon O. Murphy United States	25	6.6k 1.1×	1.8k 0.7×	1.4k 0.8×	503 0.4×	1.2k 1.2×	31	9.3k
Alejo Efeyan Spain	24	6.0k 1.0×	1.7k 0.6×	1.1k 0.6×	700 0.6×	1.4k 1.4×	49	9.5k
Jurre J. Kamphorst United States	27	5.1k 0.8×	1.6k 0.6×	3.3k 1.8×	415 0.3×	1.2k 1.2×	37	7.7k
Andrew R. Tee United Kingdom	39	6.6k 1.1×	1.3k 0.5×	970 0.5×	579 0.5×	860 0.9×	69	9.1k
Timothy R. Peterson United States	15	6.1k 1.0×	1.3k 0.5×	850 0.5×	783 0.6×	545 0.6×	17	8.1k
Carlos Enrich Spain	51	5.1k 0.8×	1.2k 0.4×	1.1k 0.6×	1.0k 0.8×	616 0.6×	175	7.9k
Besim Öğretmen United States	54	8.3k 1.4×	1.5k 0.5×	1.1k 0.6×	426 0.4×	1.1k 1.1×	148	10.0k
Ramón Bartrons Spain	47	5.6k 0.9×	914 0.3×	3.0k 1.6×	1.3k 1.1×	1.2k 1.2×	192	8.9k
Frédéric Bost France	37	4.8k 0.8×	939 0.3×	1.5k 0.8×	899 0.7×	1.5k 1.5×	95	6.7k
Robin Mathew United States	25	6.5k 1.1×	6.7k 2.5×	2.6k 1.4×	399 0.3×	1.2k 1.2×	35	10.4k

Countries citing papers authored by David B. Shackelford

Since Specialization

Citations

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

Fields of papers citing papers by David B. Shackelford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David B. Shackelford

This figure shows the co-authorship network connecting the top 25 collaborators of David B. Shackelford. A scholar is included among the top collaborators of David B. Shackelford based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David B. Shackelford. David B. Shackelford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wu, Katherine, Jozef P. Bossowski, Toshitaka Nakamura, et al.. (2025). Targeting FSP1 triggers ferroptosis in lung cancer. Nature. 649(8096). 487–495. 3 indexed citations

Chan, Alfred A., Juliana Noguti, Tsui‐Fen Chou, et al.. (2024). N-Myristoytransferase Inhibition Causes Mitochondrial Iron Overload and Parthanatos in TIM17A-Dependent Aggressive Lung Carcinoma. Cancer Research Communications. 4(7). 1815–1833. 5 indexed citations

Momcilovic, Milica, Dejerianne Ostrow, Simran Maggo, et al.. (2024). Trafficking of mitochondrial double-stranded RNA from mitochondria to the cytosol. Life Science Alliance. 7(9). e202302396–e202302396. 5 indexed citations

Long, Donald, Marina Chan, K. Rosanna, et al.. (2024). Proteo-metabolomics and patient tumor slice experiments point to amino acid centrality for rewired mitochondria in fibrolamellar carcinoma. Cell Reports Medicine. 5(9). 101699–101699. 1 indexed citations

Murray, Christopher W., Jennifer J. Brady, Hongchen Cai, et al.. (2022). LKB1 drives stasis and C/EBP-mediated reprogramming to an alveolar type II fate in lung cancer. Nature Communications. 13(1). 1090–1090. 12 indexed citations

Mullen, Peter, Gustavo Garcia, Arunima Purkayastha, et al.. (2021). SARS-CoV-2 infection rewires host cell metabolism and is potentially susceptible to mTORC1 inhibition. Nature Communications. 12(1). 1876–1876. 91 indexed citations

Olszewski, Kellen, Anthony M. Barsotti, Xiao‐Jiang Feng, et al.. (2021). Inhibition of glucose transport synergizes with chemical or genetic disruption of mitochondrial metabolism and suppresses TCA cycle-deficient tumors. Cell chemical biology. 29(3). 423–435.e10. 44 indexed citations

Krall, Abigail S., Peter J. Mullen, Milica Momcilovic, et al.. (2021). Asparagine couples mitochondrial respiration to ATF4 activity and tumor growth. Cell Metabolism. 33(5). 1013–1026.e6. 177 indexed citations

DeNicola, Gina M. & David B. Shackelford. (2021). Metabolic Phenotypes, Dependencies, and Adaptation in Lung Cancer. Cold Spring Harbor Perspectives in Medicine. 11(11). a037838–a037838. 7 indexed citations

10.

Segawa, Mayuko, Dane M. Wolf, Nan W. Hultgren, et al.. (2020). Quantification of cristae architecture reveals time-dependent characteristics of individual mitochondria. Life Science Alliance. 3(7). e201900620–e201900620. 37 indexed citations

11.

Riess, Jonathan W., Paul Frankel, David B. Shackelford, et al.. (2020). Phase 1 Trial of MLN0128 (Sapanisertib) and CB-839 HCl (Telaglenastat) in Patients With Advanced NSCLC (NCI 10327): Rationale and Study Design. Clinical Lung Cancer. 22(1). 67–70. 36 indexed citations

12.

Momcilovic, Milica, Anthony E. Jones, Sean T. Bailey, et al.. (2019). In vivo imaging of mitochondrial membrane potential in non-small-cell lung cancer. Nature. 575(7782). 380–384. 152 indexed citations

13.

Momcilovic, Milica, Sean T. Bailey, Jason T. Lee, et al.. (2018). Utilizing <sup>18</sup>F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer. Journal of Visualized Experiments. 10 indexed citations

14.

Eichner, Lillian J., Sonja N. Brun, Sébastien Herzig, et al.. (2018). Genetic Analysis Reveals AMPK Is Required to Support Tumor Growth in Murine Kras-Dependent Lung Cancer Models. Cell Metabolism. 29(2). 285–302.e7. 147 indexed citations

15.

Goodwin, Justin, Hyunsung Choi, Meng-Hsiung Hsieh, et al.. (2017). Targeting Hypoxia-Inducible Factor-1α/Pyruvate Dehydrogenase Kinase 1 Axis by Dichloroacetate Suppresses Bleomycin-induced Pulmonary Fibrosis. American Journal of Respiratory Cell and Molecular Biology. 58(2). 216–231. 124 indexed citations

16.

Waldmann, Christopher M., Adrian Gomez, Sean T. Bailey, et al.. (2017). An Automated Multidose Synthesis of the Potentiometric PET Probe 4-[18F]Fluorobenzyl-Triphenylphosphonium ([18F]FBnTP). Molecular Imaging and Biology. 20(2). 205–212. 10 indexed citations

17.

Momcilovic, Milica, Evan R. Abt, Atsuko Seki, et al.. (2015). Heightening Energetic Stress Selectively Targets LKB1-Deficient Non–Small Cell Lung Cancers. Cancer Research. 75(22). 4910–4922. 35 indexed citations

18.

Momcilovic, Milica & David B. Shackelford. (2015). Targeting LKB1 in cancer – exposing and exploiting vulnerabilities. British Journal of Cancer. 113(4). 574–584. 70 indexed citations

19.

Shackelford, David B., Maria M. Mihaylova, Sara Gelino, et al.. (2010). Phosphorylation of ULK1 (hATG1) by AMP-Activated Protein Kinase Connects Energy Sensing to Mitophagy. Science. 331(6016). 456–461. 2048 indexed citations breakdown →

20.

Gwinn, Dana M., David B. Shackelford, Maria M. Mihaylova, et al.. (2008). AMPK Phosphorylation of Raptor Mediates a Metabolic Checkpoint. Molecular Cell. 30(2). 214–226. 3047 indexed citations breakdown →

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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