Nathan E. Hellman

2.9k total citations · 1 hit paper
13 papers, 1.5k citations indexed

About

Nathan E. Hellman is a scholar working on Molecular Biology, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Nathan E. Hellman has authored 13 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Nutrition and Dietetics. Recurrent topics in Nathan E. Hellman's work include Renal and related cancers (5 papers), Genetic and Kidney Cyst Diseases (4 papers) and Trace Elements in Health (4 papers). Nathan E. Hellman is often cited by papers focused on Renal and related cancers (5 papers), Genetic and Kidney Cyst Diseases (4 papers) and Trace Elements in Health (4 papers). Nathan E. Hellman collaborates with scholars based in United States, France and Japan. Nathan E. Hellman's co-authors include Jonathan D. Gitlin, Penny E. Shockett, Michael J. Difilippantonio, David G. Schatz, Satoshi Kono, Grazia M.S. Mancini, A. Jeannette M. Hoogeboom, Hiroaki Miyajima, Corinne Antignac and Sophie Saunier and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Nathan E. Hellman

13 papers receiving 1.5k 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.

CERULOPLASMIN METABOLISM AND FUNCTION

2002 704 citations Nathan E. Hellman, Jonathan D. Gitlin Annual Review of Nutrition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nathan E. Hellman United States	12	632	621	355	301	226	13	1.5k
Izumi Yanatori Japan	21	821 1.3×	410 0.7×	497 1.4×	91 0.3×	64 0.3×	32	1.8k
J D Gitlin United States	23	809 1.3×	1.5k 2.5×	745 2.1×	122 0.4×	664 2.9×	32	2.5k
Sarmila Majumder United States	28	2.2k 3.5×	317 0.5×	125 0.4×	211 0.7×	228 1.0×	52	3.5k
Satoru Yamasaki Japan	19	789 1.2×	1.1k 1.8×	241 0.7×	95 0.3×	465 2.1×	37	2.5k
Oliver Stehling Germany	27	2.2k 3.4×	887 1.4×	384 1.1×	79 0.3×	53 0.2×	42	3.5k
V. B. Vasilyev Russia	27	505 0.8×	558 0.9×	219 0.6×	90 0.3×	63 0.3×	101	1.7k
Diane M. Durnam United States	19	893 1.4×	1.3k 2.1×	766 2.2×	433 1.4×	942 4.2×	22	2.9k
Sébastien Küry France	17	422 0.7×	687 1.1×	193 0.5×	125 0.4×	316 1.4×	48	1.3k
Nunziata Maio United States	25	1.1k 1.8×	372 0.6×	310 0.9×	55 0.2×	37 0.2×	37	2.2k
Trent Su United States	19	835 1.3×	201 0.3×	228 0.6×	125 0.4×	63 0.3×	28	1.3k

Countries citing papers authored by Nathan E. Hellman

Since Specialization

Citations

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

Fields of papers citing papers by Nathan E. Hellman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nathan E. Hellman. 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 Nathan E. Hellman. The network helps show where Nathan E. Hellman may publish in the future.

Co-authorship network of co-authors of Nathan E. Hellman

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

All Works

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13 of 13 papers shown

Zuo, Xiaofeng, Nathan E. Hellman, Sarah McKenna, et al.. (2014). Novel MAPK-dependent and -independent tubulogenes identified via microarray analysis of 3D-cultured Madin-Darby canine kidney cells. American Journal of Physiology-Renal Physiology. 306(9). F1047–F1058. 5 indexed citations

Vasilyev, Aleksandr, Yan Liu, Nathan E. Hellman, Narendra Pathak, & Iain A. Drummond. (2012). Mechanical Stretch and PI3K Signaling Link Cell Migration and Proliferation to Coordinate Epithelial Tubule Morphogenesis in the Zebrafish Pronephros. PLoS ONE. 7(7). e39992–e39992. 29 indexed citations

Hellman, Nathan E., Yan Liu, Erin Merkel, et al.. (2010). The zebrafish foxj1a transcription factor regulates cilia function in response to injury and epithelial stretch. Proceedings of the National Academy of Sciences. 107(43). 18499–18504. 66 indexed citations

Delous, Marion, Nathan E. Hellman, Flora Silbermann, et al.. (2009). Nephrocystin-1 and nephrocystin-4 are required for epithelial morphogenesis and associate with PALS1/PATJ and Par6. Human Molecular Genetics. 18(24). 4711–4723. 81 indexed citations

Hellman, Nathan E., June T. Spector, Jonathan L. Robinson, et al.. (2007). Matrix Metalloproteinase 13 (MMP13) and Tissue Inhibitor of Matrix Metalloproteinase 1 (TIMP1), Regulated by the MAPK Pathway, Are Both Necessary for Madin-Darby Canine Kidney Tubulogenesis. Journal of Biological Chemistry. 283(7). 4272–4282. 42 indexed citations

Liu, Zhao, et al.. (2006). Intracellular signaling via ERK/MAPK completes the pathway for tubulogenic fibronectin in MDCK cells. Biochemical and Biophysical Research Communications. 353(3). 793–798. 13 indexed citations

Hellman, Nathan E., et al.. (2005). Activated extracellular signal-regulated kinases are necessary and sufficient to initiate tubulogenesis in renal tubular MDCK strain I cell cysts. American Journal of Physiology-Renal Physiology. 289(4). F777–F785. 21 indexed citations

Hellman, Nathan E., Satoshi Kono, Hiroaki Miyajima, & Jonathan D. Gitlin. (2002). Biochemical Analysis of a Missense Mutation in Aceruloplasminemia. Journal of Biological Chemistry. 277(2). 1375–1380. 64 indexed citations

Hellman, Nathan E., et al.. (2002). Mechanisms of Copper Incorporation into Human Ceruloplasmin. Journal of Biological Chemistry. 277(48). 46632–46638. 127 indexed citations

10.

Hellman, Nathan E. & Jonathan D. Gitlin. (2002). CERULOPLASMIN METABOLISM AND FUNCTION. Annual Review of Nutrition. 22(1). 439–458. 704 indexed citations breakdown →

11.

Hellman, Nathan E., et al.. (2000). Hepatic iron overload in aceruloplasminaemia. Gut. 47(6). 858–860. 47 indexed citations

12.

Hellman, Nathan E., Elizabeth Grant, & Alison Goate. (1998). Failure to replicate a protective effect of allele 2 of NACP/α‐synuclein polymorphism in Alzheimer's disease: An association study. Annals of Neurology. 44(2). 278–281. 14 indexed citations

13.

Shockett, Penny E., Michael J. Difilippantonio, Nathan E. Hellman, & David G. Schatz. (1995). A modified tetracycline-regulated system provides autoregulatory, inducible gene expression in cultured cells and transgenic mice.. Proceedings of the National Academy of Sciences. 92(14). 6522–6526. 336 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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