Nila Shah

3.9k total citations · 1 hit paper
15 papers, 3.0k citations indexed

About

Nila Shah is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Nila Shah has authored 15 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Genetics. Recurrent topics in Nila Shah's work include Alkaline Phosphatase Research Studies (5 papers), Molecular Biology Techniques and Applications (3 papers) and Gene expression and cancer classification (3 papers). Nila Shah is often cited by papers focused on Alkaline Phosphatase Research Studies (5 papers), Molecular Biology Techniques and Applications (3 papers) and Gene expression and cancer classification (3 papers). Nila Shah collaborates with scholars based in United States, Germany and Sweden. Nila Shah's co-authors include Janet A. Warrington, Jay D. Horton, Michael S. Brown, Norma N. Anderson, Joseph L. Goldstein, Sahng Wook Park, Michael J. Kozal, Don Morris, Naiping Shen and Earl Hubbell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Nila Shah

15 papers receiving 3.0k 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.

Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies direct SREBP target genes

2003 1.2k citations Jay D. Horton, Nila Shah et al. Proceedings of the National Academy of Sciences profile →

Peers

Countries citing papers authored by Nila Shah

Since Specialization

Citations

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

Fields of papers citing papers by Nila Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nila Shah

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	The Human MitoChip: A High-Throughput Sequencing Microarray for Mitochondrial Mutation Detection 2004 ·Genome Research ·Anirban Maitra, Yoram Cohen, (unknown), Elizabeth Mambo, Noriyoshi Fukushima, Mohammad Obaidul Hoque, Nila Shah, Michael Goggins, Joseph A. Califano, David Sidransky, Aravinda Chakravarti	191
2	Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies direct SREBP target genes 2003 ·Jay D. Horton, Nila Shah, Joseph L. Goldstein, Michael S. Brown, Sahng Wook Park, Norma N. Anderson, Janet A. Warrington	1
3	Combined analysis of oligonucleotide microarray data from transgenic and knockout mice identifies direct SREBP target genes breakdown → 2003 ·Proceedings of the National Academy of Sciences ·Jay D. Horton, Nila Shah, Janet A. Warrington, Norma N. Anderson, Sahng Wook Park, Michael S. Brown, Joseph L. Goldstein	1173
4	New developments in high-throughput resequencing and variation detection using high density microarrays 2002 ·Human Mutation ·Janet A. Warrington, Nila Shah, Xiyin Chen, (unknown), Chunmei Liu, (unknown), (unknown), (unknown), Zhaomei Zhang, Richard A. Watts, (unknown), Anthony Berno, Jim Snyder, (unknown)	57
5	High-Throughput Variation Detection and Genotyping Using Microarrays 2001 ·Genome Research ·David J. Cutler, Michael E. Zwick, Minerva M. Carrasquillo, (unknown), (unknown), Carl Kashuk, Debra Mathews, Nila Shah, Evan E. Eichler, Janet A. Warrington, Aravinda Chakravarti	218
6	Identification of a Mammalian Long Chain Fatty Acyl Elongase Regulated by Sterol Regulatory Element-binding Proteins 2001 ·Journal of Biological Chemistry ·(unknown), Nila Shah, Suchismita Mohapatra, Janet A. Warrington, Jay D. Horton	282
7	Large-scale discovery and genotyping of single-nucleotide polymorphisms in the mouse 2000 ·Nature Genetics ·Kerstin Lindblad‐Toh, Ellen Winchester, Mark J. Daly, (unknown), Joel N. Hirschhorn, Jean‐Philippe Laviolette, Kristin Ardlie, David Reich, Elizabeth A. Robinson, Pamela Sklar, Nila Shah, Daryl J. Thomas, Jian‐Bing Fan, T Gingeras, Janet A. Warrington, Nila Patil, Thomas J. Hudson, Eric S. Lander	344
8	Conditional expression of a G _i -coupled receptor causes ventricular conduction delay and a lethal cardiomyopathy 2000 ·Proceedings of the National Academy of Sciences ·Charles H. Redfern, Michael Degtyarev, (unknown), Nathan Salomonis, Nathalie de la Cotte, Tania Nanevicz, (unknown), Kavin Desai, Karen Vranizan, (unknown), Peter Coward, Nila Shah, Janet A. Warrington, Glenn I. Fishman, Daniel Bernstein, Anthony J. Baker, Bruce R. Conklin	134
9	Using oligonucleotide probe arrays to access genetic diversity 1999 ·Birkhäuser Basel eBooks ·Robert J. Lipshutz, Don Morris, M. S. Chee, Earl Hubbell, Michael J. Kozal, Nila Shah, Naiping Shen, Rob Yang, Stephen P. A. Fodor	196
10	Extensive polymorphisms observed in HIV–1 clade B protease gene using high–density oligonucleotide arrays 1996 ·Nature Medicine ·Michael J. Kozal, Nila Shah, Naiping Shen, Robert Yang, Raymond V. Fucini, Thomas C. Merigan, Douglas D. Richman, Don Morris, Earl Hubbell, Mark S. Chee, T Gingeras	413
11	Immunoelectron microscopic analysis of the binding of monoclonal antibodies to molecular variants of human placental alkaline phosphatase 1986 ·Biochemistry ·Motohiro Takeya, Ronald Jemmerson, Nila Shah, William H. Fishman	4
12	Evidence for homology of normal and neoplastic human placental alkaline phosphatases as determined by monoclonal antibodies to the cancer-associated enzyme. 1985 ·PubMed ·Ronald Jemmerson, Nila Shah, William H. Fishman	13
13	Characterization of the placental alkaline phosphatase-like (Nagao) isozyme on the surface of A431 human epidermoid carcinoma cells. 1985 ·PubMed ·Ronald Jemmerson, Nila Shah, Motohiro Takeya, William H. Fishman	12
14	Tumor immunolocalization using monoclonal antibodies which bind placental alkaline phosphatase. 1984 ·PubMed ·Ronald Jemmerson, Motohiro Takeya, Nila Shah, W. H. Fishman	3
15	Functional organization of the placental alkaline phosphatase polypeptide chain. 1984 ·PubMed ·Ronald Jemmerson, Nila Shah, (unknown), W. H. Fishman	9

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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