Chase Neumann

691 total citations
8 papers, 286 citations indexed

About

Chase Neumann is a scholar working on Molecular Biology, Cancer Research and Biochemistry. According to data from OpenAlex, Chase Neumann has authored 8 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Biochemistry. Recurrent topics in Chase Neumann's work include Amino Acid Enzymes and Metabolism (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Extracellular vesicles in disease (1 paper). Chase Neumann is often cited by papers focused on Amino Acid Enzymes and Metabolism (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Extracellular vesicles in disease (1 paper). Chase Neumann collaborates with scholars based in United States, Germany and Saudi Arabia. Chase Neumann's co-authors include Sydney Kustu, James R. Broach, J. Mark Brown, Sue Goo Rhee, Mark L. Gonzalgo, Michelle Puchowicz, Rutulkumar Patel, Sze Kiat Tan, Scott M. Welford and Anthony J. Griswold and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Bacteriology.

In The Last Decade

Chase Neumann

8 papers receiving 266 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chase Neumann United States	7	161	99	69	60	44	8	286
Peck Yean Tan Singapore	6	231 1.4×	55 0.6×	74 1.1×	13 0.2×	79 1.8×	7	350
K. Wulff Germany	7	140 0.9×	45 0.5×	100 1.4×	91 1.5×	17 0.4×	17	380
Gensaku Okada Japan	11	201 1.2×	63 0.6×	21 0.3×	81 1.4×	20 0.5×	19	371
Kevan Mehta Canada	11	213 1.3×	35 0.4×	40 0.6×	27 0.5×	34 0.8×	15	356
Alejandro Huerta Uribe United Kingdom	9	189 1.2×	92 0.9×	33 0.5×	44 0.7×	14 0.3×	15	301
Ian Taylor United States	7	132 0.8×	15 0.2×	38 0.6×	17 0.3×	29 0.7×	11	259
Shi-Ping Lu China	6	189 1.2×	118 1.2×	162 2.3×	8 0.1×	22 0.5×	13	335
Susanne Bentz Switzerland	8	193 1.2×	72 0.7×	19 0.3×	26 0.4×	62 1.4×	9	352
Gavin M. Traber United States	5	277 1.7×	89 0.9×	20 0.3×	14 0.2×	26 0.6×	9	370
Cu Nguyen United States	11	276 1.7×	74 0.7×	24 0.3×	16 0.3×	84 1.9×	18	411

Countries citing papers authored by Chase Neumann

Since Specialization

Citations

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

Fields of papers citing papers by Chase Neumann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chase Neumann

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

All Works

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8 of 8 papers shown

1.

Tan, Sze Kiat, Iqbal Mahmud, Flavia Fontanesi, et al.. (2021). Obesity-Dependent Adipokine Chemerin Suppresses Fatty Acid Oxidation to Confer Ferroptosis Resistance. Cancer Discovery. 11(8). 2072–2093. 78 indexed citations

2.

Silver, Daniel J., Gustavo Roversi, Sabrina Wang, et al.. (2021). Severe consequences of a high-lipid diet include hydrogen sulfide dysfunction and enhanced aggression in glioblastoma. Journal of Clinical Investigation. 131(17). 39 indexed citations

3.

Brubaker, Gregory, Jennifer Major, Chase Neumann, et al.. (2020). Uptake of high-density lipoprotein by scavenger receptor class B type 1 is associated with prostate cancer proliferation and tumor progression in mice. Journal of Biological Chemistry. 295(24). 8252–8261. 31 indexed citations

4.

Neumann, Chase, Daniel J. Silver, Venkateshwari Varadharajan, et al.. (2020). MBOAT7-driven phosphatidylinositol remodeling promotes the progression of clear cell renal carcinoma. Molecular Metabolism. 34. 136–145. 19 indexed citations

5.

Brown, Amanda L., Daniela Allende, Anthony D. Gromovsky, et al.. (2019). Dietary Choline Supplementation Attenuates High-Fat-Diet–Induced Hepatocellular Carcinoma in Mice. Journal of Nutrition. 150(4). 775–783. 18 indexed citations

6.

Naundorf, H, et al.. (2000). Differences in immunoreactivity of estrogen receptor (ER) in tamoxifen-sensitive and -resistant breast carcinomas: preclinical and first clinical investigations. Breast Cancer Research and Treatment. 60(1). 81–92. 3 indexed citations

7.

Rhee, Sue Goo, et al.. (1978). Mutations that alter the covalent modification of glutamine synthetase in Salmonella typhimurium. Journal of Bacteriology. 134(3). 1046–1055. 50 indexed citations

8.

Broach, James R., Chase Neumann, & Sydney Kustu. (1976). Mutant strains (nit) of Salmonella typhimurium with a pleiotropic defect in nitrogen metabolism. Journal of Bacteriology. 128(1). 86–98. 48 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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