John E. Niederhuber

9.3k total citations · 1 hit paper
175 papers, 6.3k citations indexed

About

John E. Niederhuber is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, John E. Niederhuber has authored 175 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 40 papers in Oncology and 39 papers in Immunology. Recurrent topics in John E. Niederhuber's work include T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (15 papers) and Hepatocellular Carcinoma Treatment and Prognosis (15 papers). John E. Niederhuber is often cited by papers focused on T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (15 papers) and Hepatocellular Carcinoma Treatment and Prognosis (15 papers). John E. Niederhuber collaborates with scholars based in United States, Sweden and United Kingdom. John E. Niederhuber's co-authors include William D. Ensminger, John W. Gyves, Herman R. Menck, Jeffrey A. Frelinger, Donald C. Shreffler, Murray F. Brennan, Dale L. Bodian, Chella S. David, Stephen Desiderio and Susan M. Dymecki and has published in prestigious journals such as Science, Cell and JAMA.

In The Last Decade

John E. Niederhuber

173 papers receiving 5.9k citations

Hit Papers

Totally implanted venous and arterial access system to re... 1982 2026 1996 2011 1982 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John E. Niederhuber United States 44 1.7k 1.7k 1.1k 1.1k 1.0k 175 6.3k
L. Clifton Stephens United States 52 3.5k 2.0× 2.4k 1.4× 1.3k 1.1× 598 0.6× 1.7k 1.6× 192 8.8k
Giuseppe Leone Italy 63 4.4k 2.5× 2.6k 1.5× 1.3k 1.1× 2.6k 2.4× 863 0.8× 604 16.2k
Magnus Björkholm Sweden 66 5.0k 2.9× 4.0k 2.4× 1.1k 0.9× 2.5k 2.3× 1.1k 1.1× 488 16.3k
Richard Wheeler United States 41 2.3k 1.3× 3.3k 1.9× 3.2k 2.8× 868 0.8× 2.1k 2.0× 121 10.1k
George Miller United States 51 3.2k 1.8× 3.1k 1.8× 1.5k 1.3× 2.8k 2.6× 1.1k 1.1× 125 9.7k
Rogier M. Bertina Netherlands 64 2.2k 1.3× 410 0.2× 1.5k 1.3× 1.0k 0.9× 1.5k 1.5× 250 16.3k
Mark Brantly United States 52 3.0k 1.7× 2.5k 1.5× 674 0.6× 706 0.7× 2.0k 1.9× 187 8.7k
Michael Gregor Germany 50 2.7k 1.5× 1.3k 0.8× 1.6k 1.4× 784 0.7× 982 0.9× 200 7.7k
Isabella Sperduti Italy 48 2.2k 1.3× 4.0k 2.4× 1.6k 1.4× 712 0.7× 2.4k 2.2× 395 9.1k
Reuven Or Israel 44 1.1k 0.6× 2.6k 1.5× 675 0.6× 3.5k 3.3× 972 0.9× 303 10.8k

Countries citing papers authored by John E. Niederhuber

Since Specialization
Citations

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

Fields of papers citing papers by John E. Niederhuber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John E. Niederhuber

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

All Works

20 of 20 papers shown
1.
Kashyap, Rahul, Gayane Yenokyan, Melissa Gerstenhaber, et al.. (2025). Clinical Research Network: JHCRN Infrastructure and Lessons Learned. Clinical and Translational Science. 18(1). e70123–e70123.
2.
Kothiyal, Prachi, Wendy S.W. Wong, Dale L. Bodian, & John E. Niederhuber. (2019). Mendelian Inconsistent Signatures from 1314 Ancestrally Diverse Family Trios Distinguish Biological Variation from Sequencing Error. Journal of Computational Biology. 26(5). 405–419. 6 indexed citations
3.
Huddleston, Kathi, et al.. (2019). Association of Ancestral Genetic Admixture and Excess Weight at Twelve Months of Age. Childhood Obesity. 16(1). 59–64. 2 indexed citations
4.
Goldmann, Jakob M., Vladimir B. Seplyarskiy, Wendy S.W. Wong, et al.. (2018). Germline de novo mutation clusters arise during oocyte aging in genomic regions with high double-strand-break incidence. Nature Genetics. 50(4). 487–492. 46 indexed citations
5.
Goldmann, Jakob M., Vladimir B. Seplyarskiy, Wendy S.W. Wong, et al.. (2018). Germline De Novo Mutation Clusters Arise During Oocyte Aging in Genomic Regions With High Double-Strand-Break Incidence. Obstetrical & Gynecological Survey. 73(9). 531–532. 4 indexed citations
6.
Rosa, María José, Ashley Pajak, Allan C. Just, et al.. (2017). Prenatal exposure to PM 2.5 and birth weight: A pooled analysis from three North American longitudinal pregnancy cohort studies. Environment International. 107. 173–180. 30 indexed citations
8.
Goldmann, Jakob M., Wendy S.W. Wong, Michele Pinelli, et al.. (2016). Parent-of-origin-specific signatures of de novo mutations. Nature Genetics. 48(8). 935–939. 196 indexed citations
9.
Erikson, Galina, Dale L. Bodian, Manuel Rueda, et al.. (2016). Whole-Genome Sequencing of a Healthy Aging Cohort. Cell. 165(4). 1002–1011. 131 indexed citations
10.
Niederhuber, John E.. (2010). Translating Discovery to Patient Care. JAMA. 303(11). 1088–1088. 5 indexed citations
11.
Aprelikova, Olga, Silvia Pandolfi, Sean Tackett, et al.. (2009). Melanoma Antigen-11 Inhibits the Hypoxia-Inducible Factor Prolyl Hydroxylase 2 and Activates Hypoxic Response. Cancer Research. 69(2). 616–624. 44 indexed citations
12.
Khoury, Muin J., Eugene C. Rich, Gurvaneet Randhawa, Steven M. Teutsch, & John E. Niederhuber. (2009). Comparative effectiveness research and genomic medicine: An evolving partnership for 21st century medicine. Genetics in Medicine. 11(10). 707–711. 38 indexed citations
13.
Engstrom, P, Al B. Benson, Adam J. Cohen, et al.. (1996). NCCN Colorectal Cancer Practice Guidelines. The National Comprehensive Cancer Network.. PubMed. 10(11 Suppl). 140–75. 50 indexed citations
14.
Niederhuber, John E., Murray F. Brennan, & Herman R. Menck. (1995). The national cancer data base report on pancreatic cancer. Cancer. 76(9). 1671–1677. 353 indexed citations
15.
Niederhuber, John E.. (1993). Current therapy in oncology. 123 indexed citations
16.
Ney, Derek R., Elliot K. Fishman, & John E. Niederhuber. (1992). Three-dimensional display of hepatic venous anatomy generated from spiral computed tomography data: Preliminary results. Journal of Digital Imaging. 5(4). 242–245. 18 indexed citations
17.
Kozak, Christine A., Susan M. Dymecki, John E. Niederhuber, & Stephen Desiderio. (1991). Genetic mapping of the gene for a novel tyrosine kinase, Blk, to mouse chromosome 14. Genomics. 9(4). 762–764. 5 indexed citations
18.
Headington, John T., John E. Niederhuber, & Theodore F. Beals. (1978). Malignant clear cell acrospiroma. Cancer. 41(2). 641–647. 67 indexed citations
19.
Niederhuber, John E. & Jeffrey A. Frelinger. (1976). Expression of ia antigens on t and b cells and their relationship to immune-response functions.. The Mouseion at the JAXlibrary (Jackson Laboratory). 16 indexed citations
20.
Niederhuber, John E., et al.. (1976). Effects of anti-Ia sera on mitogenic responses. II. Differential expression of the Ia marker on phytohemagglutinin and concanavalin A-reactive T cells.. The Journal of Experimental Medicine. 143(2). 372–381. 54 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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