Andrew P. Hodges

742 total citations
19 papers, 383 citations indexed

About

Andrew P. Hodges is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Andrew P. Hodges has authored 19 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Cell Biology. Recurrent topics in Andrew P. Hodges's work include Adipose Tissue and Metabolism (4 papers), Mitochondrial Function and Pathology (3 papers) and Computational Drug Discovery Methods (3 papers). Andrew P. Hodges is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Mitochondrial Function and Pathology (3 papers) and Computational Drug Discovery Methods (3 papers). Andrew P. Hodges collaborates with scholars based in United States, Canada and United Kingdom. Andrew P. Hodges's co-authors include Yongqun He, Edison Ong, Carlo Piermarocchi, Giovanni Paternostro, Ann E. Stapleton, Harry L. T. Mobley, James R. Johnson, Fanchao Yi, Patrick D. Vigil and Steven R. Smith and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Andrew P. Hodges

19 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew P. Hodges United States 11 162 74 64 57 41 19 383
Risa Watanabe Japan 9 172 1.1× 65 0.9× 29 0.5× 71 1.2× 7 0.2× 22 627
C. Lavallée Canada 7 130 0.8× 27 0.4× 106 1.7× 2 0.0× 97 2.4× 10 379
A. De Smet Belgium 11 141 0.9× 144 1.9× 32 0.5× 18 0.3× 11 0.3× 27 480
Khin Lin South Korea 18 105 0.6× 102 1.4× 30 0.5× 5 0.1× 25 0.6× 34 888
L. Federici Italy 11 139 0.9× 16 0.2× 17 0.3× 96 1.7× 2 0.0× 27 412
Ziping Chen China 14 265 1.6× 77 1.0× 24 0.4× 43 0.8× 61 1.5× 36 635
M. Ibe Japan 17 46 0.3× 70 0.9× 12 0.2× 470 8.2× 34 0.8× 36 717
K. van der Meulen Belgium 8 126 0.8× 124 1.7× 9 0.1× 10 0.2× 2 0.0× 12 389
Steve Hawkins Brazil 4 80 0.5× 18 0.2× 8 0.1× 29 0.5× 2 0.0× 8 197
HB Wang China 12 160 1.0× 26 0.4× 6 0.1× 11 0.2× 23 0.6× 32 378

Countries citing papers authored by Andrew P. Hodges

Since Specialization
Citations

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

Fields of papers citing papers by Andrew P. Hodges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew P. Hodges. 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 Andrew P. Hodges. The network helps show where Andrew P. Hodges may publish in the future.

Co-authorship network of co-authors of Andrew P. Hodges

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew P. Hodges. A scholar is included among the top collaborators of Andrew P. Hodges 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 Andrew P. Hodges. Andrew P. Hodges is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Leibel, Sandra L., et al.. (2022). Metabolomic profiling of human pluripotent stem cell differentiation into lung progenitors. iScience. 25(2). 103797–103797. 7 indexed citations
2.
MacKenzie, Douglas J., Neil Robertson, Hazel A. Cruickshanks, et al.. (2020). DNMT3B Oncogenic Activity in Human Intestinal Cancer Is Not Linked to CIMP or BRAFV600E Mutation. iScience. 23(2). 100838–100838. 6 indexed citations
3.
Vega, Rick B., Bram Brouwers, Stephanie A. Parsons, et al.. (2020). An improvement in skeletal muscle mitochondrial capacity with short‐term aerobic training is associated with changes in Tribbles 1 expression. Physiological Reports. 8(12). e14416–e14416. 11 indexed citations
4.
Gimple, Ryan C., Rachael N. McVicar, Andrew P. Hodges, et al.. (2020). “Reprogram Enablement” as an Assay for Identifying Early Oncogenic Pathways by Their Ability to Allow Neoplastic Cells to Reacquire an Epiblast State. Stem Cell Reports. 15(3). 761–775. 3 indexed citations
5.
Pino, Maria F., Natalie Stephens, Alexey M. Eroshkin, et al.. (2019). Endurance training remodels skeletal muscle phospholipid composition and increases intrinsic mitochondrial respiration in men with Type 2 diabetes. Physiological Genomics. 51(11). 586–595. 24 indexed citations
6.
Arkani–Hamed, Nima, Jacob L. Bourjaily, Freddy Cachazo, Andrew P. Hodges, & Jaroslav Trnka. (2016). A Note on Polytopes for Scattering Amplitudes. 24 indexed citations
7.
Moldt, Brian, Khoa Le, Diane G. Carnathan, et al.. (2016). Neutralizing antibody affords comparable protection against vaginal and rectal simian/human immunodeficiency virus challenge in macaques. AIDS. 30(10). 1543–1551. 42 indexed citations
8.
Sparks, Lauren M., Leanne M. Redman, Kevin E. Conley, et al.. (2016). Differences in Mitochondrial Coupling Reveal a Novel Signature of Mitohormesis in Muscle of Healthy Individuals. The Journal of Clinical Endocrinology & Metabolism. 101(12). 4994–5003. 8 indexed citations
9.
Sparks, Lauren M., Leanne M. Redman, Kevin E. Conley, et al.. (2016). EFFECTS OF 12 MONTHS OF CALORIC RESTRICTION ON MUSCLE MITOCHONDRIAL FUNCTION IN HEALTHY INDIVIDUALS. The Journal of Clinical Endocrinology & Metabolism. 102(1). jc.2016–3211. 37 indexed citations
10.
Nemzek, Jean A., Andrew P. Hodges, & Yongqun He. (2015). Bayesian network analysis of multi-compartmentalized immune responses in a murine model of sepsis and direct lung injury. BMC Research Notes. 8(1). 516–516. 9 indexed citations
11.
Kang, Yunyi, Andrew P. Hodges, Edison Ong, et al.. (2014). Identification of Drug Combinations Containing Imatinib for Treatment of BCR-ABL+ Leukemias. PLoS ONE. 9(7). e102221–e102221. 18 indexed citations
12.
Ong, Edison, et al.. (2014). Prediction of kinase inhibitor response using activity profiling, in vitro screening, and elastic net regression. BMC Systems Biology. 8(1). 74–74. 17 indexed citations
13.
Hodges, Andrew P.. (2013). New expressions for gravitational scattering amplitudes. Journal of High Energy Physics. 2013(7). 34 indexed citations
14.
Vigil, Patrick D., Ann E. Stapleton, James R. Johnson, et al.. (2011). Presence of Putative Repeat-in-Toxin Gene tosA in Escherichia coli Predicts Successful Colonization of the Urinary Tract. mBio. 2(3). e00066–11. 44 indexed citations
15.
Hodges, Andrew P., Peter Woolf, & Yongqun He. (2010). BN+1 Bayesian network expansion for identifying molecular pathway elements. Communicative & Integrative Biology. 3(6). 549–554. 5 indexed citations
16.
Hodges, Andrew P., Dongjuan Dai, Zuoshuang Xiang, et al.. (2010). Bayesian Network Expansion Identifies New ROS and Biofilm Regulators. PLoS ONE. 5(3). e9513–e9513. 18 indexed citations
17.
Hodges, Andrew P., et al.. (2008). Prediction of Lip Response to Four First Premolar Extractions in White Female Adolescents and Adults. The Angle Orthodontist. 79(3). 413–413. 7 indexed citations
18.
Xiang, Zhihai, Thomas Todd, Carroll B. Larson, et al.. (2007). VIOLIN: vaccine investigation and online information network. Nucleic Acids Research. 36(Database). D923–D928. 59 indexed citations
19.
Hodges, Andrew P., et al.. (1980). Twistor diagrams. 1(4). 333–353. 10 indexed citations

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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