Adam Jochem

1.8k total citations
18 papers, 809 citations indexed

About

Adam Jochem is a scholar working on Molecular Biology, Biochemistry and Epidemiology. According to data from OpenAlex, Adam Jochem has authored 18 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Biochemistry and 2 papers in Epidemiology. Recurrent topics in Adam Jochem's work include Mitochondrial Function and Pathology (8 papers), Coenzyme Q10 studies and effects (8 papers) and ATP Synthase and ATPases Research (4 papers). Adam Jochem is often cited by papers focused on Mitochondrial Function and Pathology (8 papers), Coenzyme Q10 studies and effects (8 papers) and ATP Synthase and ATPases Research (4 papers). Adam Jochem collaborates with scholars based in United States, Switzerland and Austria. Adam Jochem's co-authors include David J. Pagliarini, Joshua J. Coon, Paul D. Hutchins, Arne Ulbrich, Jonathan A. Stefely, Jason D. Russell, Michael S. Westphall, Nicholas W. Kwiecien, Natalie M. Niemi and Andrew G. Reidenbach and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Adam Jochem

18 papers receiving 802 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam Jochem United States	15	701	162	90	90	69	18	809
Yoshifumi Horiuti Japan	6	315 0.4×	65 0.4×	24 0.3×	55 0.6×	53 0.8×	8	505
Anthony C. Smith United Kingdom	14	696 1.0×	53 0.3×	41 0.5×	8 0.1×	146 2.1×	20	889
Angela Criscuolo Germany	12	398 0.6×	68 0.4×	198 2.2×	9 0.1×	53 0.8×	15	508
Huan Lin China	10	545 0.8×	35 0.2×	16 0.2×	25 0.3×	43 0.6×	25	731
Chad G. Miller United States	11	432 0.6×	163 1.0×	22 0.2×	14 0.2×	149 2.2×	12	688
Thomas Züllig Austria	10	539 0.8×	60 0.4×	165 1.8×	5 0.1×	60 0.9×	20	675
Helena Brockenhuus von Löwenhielm Sweden	6	437 0.6×	131 0.8×	93 1.0×	4 0.0×	85 1.2×	7	539
Sergio F. Martín Spain	14	414 0.6×	75 0.5×	8 0.1×	52 0.6×	69 1.0×	17	554
N.K. Nagradova Russia	15	418 0.6×	91 0.6×	55 0.6×	12 0.1×	35 0.5×	52	603
Sharon H. Ackerman United States	19	1.2k 1.7×	68 0.4×	7 0.1×	33 0.4×	24 0.3×	37	1.3k

Countries citing papers authored by Adam Jochem

Since Specialization

Citations

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

Fields of papers citing papers by Adam Jochem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Jochem

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

All Works

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18 of 18 papers shown

Place, Michael, et al.. (2021). Natural variation in the consequences of gene overexpression and its implications for evolutionary trajectories. eLife. 10. 17 indexed citations

Jochem, Adam, Sheila Johnson, Thiruchelvi R. Reddy, et al.. (2021). Defining intermediates and redundancies in coenzyme Q precursor biosynthesis. Journal of Biological Chemistry. 296. 100643–100643. 13 indexed citations

Kemmerer, Zachary A., Brett R. Paulson, Adam Jochem, et al.. (2021). UbiB proteins regulate cellular CoQ distribution in Saccharomyces cerevisiae. Nature Communications. 12(1). 4769–4769. 34 indexed citations

He, Yuchen, Vanessa Linke, Evgenia Shishkova, et al.. (2021). Multi-Omic Single-Shot Technology for Integrated Proteome and Lipidome Analysis. Analytical Chemistry. 93(9). 4217–4222. 25 indexed citations

Jochem, Adam, Samantha C. Lewis, Brett R. Paulson, et al.. (2019). Coenzyme Q biosynthetic proteins assemble in a substrate-dependent manner into domains at ER–mitochondria contacts. The Journal of Cell Biology. 218(4). 1353–1369. 60 indexed citations

Aydın, Deniz, Robert Smith, Vanessa Linke, et al.. (2019). An Isoprene Lipid-Binding Protein Promotes Eukaryotic Coenzyme Q Biosynthesis. Molecular Cell. 73(4). 763–774.e10. 31 indexed citations

Jha, Pooja, Emina Halilbasic, Evan G. Williams, et al.. (2018). Genetic Regulation of Plasma Lipid Species and Their Association with Metabolic Phenotypes. Cell Systems. 6(6). 709–721.e6. 38 indexed citations

Schaffer, Leah V., Jarred W. Rensvold, Michael R. Shortreed, et al.. (2018). Identification and Quantification of Murine Mitochondrial Proteoforms Using an Integrated Top-Down and Intact-Mass Strategy. Journal of Proteome Research. 17(10). 3526–3536. 20 indexed citations

Jha, Pooja, Rahul Gupta, Pedro M. Quirós, et al.. (2018). Systems Analyses Reveal Physiological Roles and Genetic Regulators of Liver Lipid Species. Cell Systems. 6(6). 722–733.e6. 42 indexed citations

10.

Veling, Mike T., Andrew G. Reidenbach, Elyse C. Freiberger, et al.. (2017). Multi-omic Mitoprotease Profiling Defines a Role for Oct1p in Coenzyme Q Production. Molecular Cell. 68(5). 970–977.e11. 39 indexed citations

11.

Lapointe, Christopher P., Jonathan A. Stefely, Adam Jochem, et al.. (2017). Multi-omics Reveal Specific Targets of the RNA-Binding Protein Puf3p and Its Orchestration of Mitochondrial Biogenesis. Cell Systems. 6(1). 125–135.e6. 69 indexed citations

12.

Reidenbach, Andrew G., Zachary A. Kemmerer, Deniz Aydın, et al.. (2017). Conserved Lipid and Small-Molecule Modulation of COQ8 Reveals Regulation of the Ancient Kinase-like UbiB Family. Cell chemical biology. 25(2). 154–165.e11. 53 indexed citations

13.

Guo, Xiao, Natalie M. Niemi, Paul D. Hutchins, et al.. (2017). Ptc7p Dephosphorylates Select Mitochondrial Proteins to Enhance Metabolic Function. Cell Reports. 18(2). 307–313. 44 indexed citations

14.

Stefely, Jonathan A., Nicholas W. Kwiecien, Elyse C. Freiberger, et al.. (2016). Mitochondrial protein functions elucidated by multi-omic mass spectrometry profiling. Nature Biotechnology. 34(11). 1191–1197. 103 indexed citations

15.

Stefely, Jonathan A., Andrew G. Reidenbach, Arne Ulbrich, et al.. (2014). Mitochondrial ADCK3 Employs an Atypical Protein Kinase-like Fold to Enable Coenzyme Q Biosynthesis. Molecular Cell. 57(1). 83–94. 89 indexed citations

16.

Grimsrud, Paul A., Joshua J. Carson, Alex S. Hebert, et al.. (2012). A Quantitative Map of the Liver Mitochondrial Phosphoproteome Reveals Posttranslational Control of Ketogenesis. Cell Metabolism. 16(5). 672–683. 122 indexed citations

17.

Figueiredo, Marxa L., Timothy J. Stein, Adam Jochem, & Eric P. Sandgren. (2012). Mutant Hras^G12V and Kras^G12D have overlapping, but non‐identical effects on hepatocyte growth and transformation frequency in transgenic mice. Liver International. 32(4). 582–591. 5 indexed citations

18.

Stein, Timothy J., et al.. (2011). Effect of mutant β-catenin on liver growth homeostasis and hepatocarcinogenesis in transgenic mice. Liver International. 31(3). 303–312. 5 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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