Jeffery C. Rathmell

1.4k total citations · 1 hit paper
6 papers, 864 citations indexed

About

Jeffery C. Rathmell is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Jeffery C. Rathmell has authored 6 papers receiving a total of 864 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Epidemiology. Recurrent topics in Jeffery C. Rathmell's work include Adipokines, Inflammation, and Metabolic Diseases (2 papers), Epigenetics and DNA Methylation (2 papers) and Immune cells in cancer (2 papers). Jeffery C. Rathmell is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (2 papers), Epigenetics and DNA Methylation (2 papers) and Immune cells in cancer (2 papers). Jeffery C. Rathmell collaborates with scholars based in United States and China. Jeffery C. Rathmell's co-authors include Andrew N. Macintyre, Alex J. Freemerman, Melissa A. Troester, Pankuri Goraksha-Hicks, Amy R. Johnson, J. Justin Milner, Liza Makowski, Erin L. Kirk, Michaël Loschi and Alexandria Huynh and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Clinical Cancer Research.

In The Last Decade

Jeffery C. Rathmell

6 papers receiving 854 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.

Metabolic Reprogramming of Macrophages

2014 715 citations Alex J. Freemerman, Amy R. Johnson et al. Journal of Biological Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jeffery C. Rathmell United States	4	463	347	179	176	98	6	864
Charlotte Muret Switzerland	2	532 1.1×	410 1.2×	200 1.1×	125 0.7×	80 0.8×	4	886
Marieke C.S. Boshuizen Netherlands	12	608 1.3×	431 1.2×	119 0.7×	167 0.9×	97 1.0×	14	1.0k
Jia Zou China	11	406 0.9×	295 0.9×	97 0.5×	253 1.4×	145 1.5×	15	790
Charles Drummer United States	17	477 1.0×	446 1.3×	96 0.5×	142 0.8×	83 0.8×	23	1.1k
Natasja A. Otto Netherlands	9	526 1.1×	350 1.0×	106 0.6×	167 0.9×	79 0.8×	18	888
Mohamed I. M. Ahmed Germany	8	527 1.1×	336 1.0×	89 0.5×	228 1.3×	82 0.8×	18	970
Ruifang Wu China	14	447 1.0×	402 1.2×	229 1.3×	85 0.5×	58 0.6×	45	928
Nicholas Jones United Kingdom	16	333 0.7×	203 0.6×	69 0.4×	149 0.8×	109 1.1×	39	830
Heidi Wähämaa Sweden	17	697 1.5×	441 1.3×	91 0.5×	96 0.5×	67 0.7×	33	1.5k
Hannah L. Wiesolek United States	5	332 0.7×	312 0.9×	92 0.5×	70 0.4×	73 0.7×	6	885

Countries citing papers authored by Jeffery C. Rathmell

Since Specialization

Citations

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

Fields of papers citing papers by Jeffery C. Rathmell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffery C. Rathmell. 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 Jeffery C. Rathmell. The network helps show where Jeffery C. Rathmell may publish in the future.

Co-authorship network of co-authors of Jeffery C. Rathmell

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

All Works

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6 of 6 papers shown

1.

Wang, Min, Cheng Zhang, Chaofan Li, et al.. (2024). Glutamine Metabolism Is Required for Alveolar Macrophage Proliferation. 1(1). 10004–10004. 1 indexed citations

2.

Macintyre, Andrew N., Alex J. Freemerman, J. Justin Milner, et al.. (2020). Metabolic Reprogramming of Macrophages: GLUCOSE TRANSPORTER 1 (GLUT1)-MEDIATED GLUCOSE METABOLISM DRIVES A PROINFLAMMATORY PHENOTYPE. UNC Libraries. 43 indexed citations

3.

Chatterjee, Shilpak, Paramita Chakraborty, Anusara Daenthanasanmak, et al.. (2018). Targeting PIM Kinase with PD1 Inhibition Improves Immunotherapeutic Antitumor T-cell Response. Clinical Cancer Research. 25(3). 1036–1049. 43 indexed citations

4.

Priyadharshini, Bhavana, Michaël Loschi, Ryan H. Newton, et al.. (2018). Cutting Edge: TGF-β and Phosphatidylinositol 3-Kinase Signals Modulate Distinct Metabolism of Regulatory T Cell Subsets. The Journal of Immunology. 201(8). 2215–2219. 59 indexed citations

5.

Freemerman, Alex J., Amy R. Johnson, J. Justin Milner, et al.. (2014). Metabolic Reprogramming of Macrophages. Journal of Biological Chemistry. 289(11). 7884–7896. 715 indexed citations breakdown →

6.

Johnson, Amy R., Alex J. Freemerman, E. Dale Abel, Jeffery C. Rathmell, & Liza Makowski. (2012). Glucose metabolism is linked to the inflammatory status of macrophages. BMC Proceedings. 6(S3). 3 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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