Smita Jha

1.8k total citations
70 papers, 1.3k citations indexed

About

Smita Jha is a scholar working on Genetics, Molecular Biology and Rheumatology. According to data from OpenAlex, Smita Jha has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 16 papers in Molecular Biology and 14 papers in Rheumatology. Recurrent topics in Smita Jha's work include Dermatological and Skeletal Disorders (12 papers), Parathyroid Disorders and Treatments (9 papers) and Skin and Cellular Biology Research (7 papers). Smita Jha is often cited by papers focused on Dermatological and Skeletal Disorders (12 papers), Parathyroid Disorders and Treatments (9 papers) and Skin and Cellular Biology Research (7 papers). Smita Jha collaborates with scholars based in United States, Austria and Greece. Smita Jha's co-authors include Timothy Bhattacharyya, Matthew N. Rasband, Nicholas C. Laucis, Wang Zhong, Fudong Liu, Dorothy P. Schafer, Louise D. McCullough, Stuart E. Dryer, Peter J. Mohler and Yasuhiro Ogawa and has published in prestigious journals such as Cell, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Smita Jha

59 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Smita Jha United States 18 452 269 199 178 173 70 1.3k
Peter Gideon Denmark 29 523 1.2× 344 1.3× 101 0.5× 189 1.1× 98 0.6× 45 2.6k
Elżbieta Jurkiewicz Poland 24 710 1.6× 117 0.4× 317 1.6× 19 0.1× 103 0.6× 141 2.1k
Andreas Perrot Germany 35 1.8k 4.0× 123 0.5× 197 1.0× 50 0.3× 138 0.8× 71 3.1k
Daniel J. Loes United States 22 1.5k 3.4× 94 0.3× 119 0.6× 37 0.2× 82 0.5× 39 2.5k
Monika Bekiesińska‐Figatowska Poland 18 278 0.6× 85 0.3× 139 0.7× 21 0.1× 58 0.3× 105 1.1k
N J Patronas United States 16 354 0.8× 115 0.4× 59 0.3× 57 0.3× 31 0.2× 21 1.7k
Ryosuke Hanaya Japan 19 268 0.6× 399 1.5× 63 0.3× 25 0.1× 37 0.2× 130 1.7k
N Patronas United States 20 311 0.7× 367 1.4× 62 0.3× 29 0.2× 66 0.4× 27 2.5k
L.N. Went Netherlands 28 1.1k 2.5× 325 1.2× 180 0.9× 55 0.3× 236 1.4× 84 2.3k
Ralf‐Ingo Ernestus Germany 30 509 1.1× 224 0.8× 180 0.9× 20 0.1× 87 0.5× 145 2.8k

Countries citing papers authored by Smita Jha

Since Specialization
Citations

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

Fields of papers citing papers by Smita Jha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Smita Jha

This figure shows the co-authorship network connecting the top 25 collaborators of Smita Jha. A scholar is included among the top collaborators of Smita Jha 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 Smita Jha. Smita Jha 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.
Simonds, William F., Yulong Li, & Smita Jha. (2025). Genotype-Phenotype Correlations in the Hyperparathyroidism-Jaw Tumor Syndrome. The Journal of Clinical Endocrinology & Metabolism. 110(4). 931–939. 2 indexed citations
2.
Welch, James, Lynn S. Bliss, Craig Cochran, et al.. (2025). Genotype-phenotype correlation in multiple endocrine neoplasia type 1. JCI Insight. 10(6).
3.
Guan, Bin, Sunita Agarwal, James Welch, et al.. (2024). A Germline ZFX Missense Variant in a Patient With Primary Hyperparathyroidism. JCEM Case Reports. 2(8). luae115–luae115.
5.
Zenno, Anna, et al.. (2023). Case Report: Nine-year-old with parathyroid adenoma within the piriform sinus. Frontiers in Endocrinology. 14. 1171052–1171052. 2 indexed citations
6.
Bliss, Lynn S., Naris Nilubol, Lee S. Weinstein, et al.. (2023). Long-Term Outcomes of Parathyroid Autografts in Primary Hyperparathyroidism. Journal of the Endocrine Society. 7(5). bvad055–bvad055.
7.
Jha, Smita & William F. Simonds. (2023). Molecular and Clinical Spectrum of Primary Hyperparathyroidism. Endocrine Reviews. 44(5). 779–818. 21 indexed citations
8.
Welch, James, Jian Sun, Sunita Agarwal, et al.. (2023). Phenotypic Profiling and Molecular Mechanisms in Hyperparathyroidism-jaw Tumor Syndrome. The Journal of Clinical Endocrinology & Metabolism. 108(12). 3165–3177. 13 indexed citations
9.
Jha, Smita, et al.. (2023). “Many Truths Make the Big Truth.”: Magical Realism in O. V. Vijayan’sThe Legends of Khasak. SHILAP Revista de lepidopterología. 4(1).
10.
Gamble, Lauren A., et al.. (2023). Micronutrient Supplementation and Bone Health After Prophylactic Total Gastrectomy in Patients With CDH1 Variants. The Journal of Clinical Endocrinology & Metabolism. 108(10). 2635–2642. 7 indexed citations
11.
Jha, Smita & Adina F. Turcu. (2021). Nonclassic Congenital Adrenal Hyperplasia. Endocrinology and Metabolism Clinics of North America. 50(1). 151–165. 12 indexed citations
12.
Jha, Smita, Nicholas C. Laucis, Lauren Kim, et al.. (2018). CT analysis of anatomical distribution of melorheostosis challenges the sclerotome hypothesis. Bone. 117. 31–36. 15 indexed citations
13.
Papadakis, Georgios Z., Smita Jha, Timothy Bhattacharyya, et al.. (2017). 18F-NaF PET/CT in Extensive Melorheostosis of the Axial and Appendicular Skeleton With Soft-Tissue Involvement. Clinical Nuclear Medicine. 42(7). 537–539. 9 indexed citations
14.
Jha, Smita & Timothy Bhattacharyya. (2016). Utilization and cost of anti-osteoporosis therapy among US Medicare beneficiaries. Archives of Osteoporosis. 11(1). 28–28. 2 indexed citations
15.
Galiano, Mauricio R., Smita Jha, Tammy Szu‐Yu Ho, et al.. (2012). A Distal Axonal Cytoskeleton Forms an Intra-Axonal Boundary that Controls Axon Initial Segment Assembly. Cell. 149(5). 1125–1139. 195 indexed citations
16.
Saini, Neeraj, et al.. (2011). The perils of not digging deep enough—uncovering a rare cause of acquired anemia. American Journal of Hematology. 87(4). 413–416. 5 indexed citations
17.
Schafer, Dorothy P., et al.. (2009). Disruption of the Axon Initial Segment Cytoskeleton Is a New Mechanism for Neuronal Injury. Journal of Neuroscience. 29(42). 13242–13254. 182 indexed citations
18.
Jha, Smita & Stuart E. Dryer. (2009). The β1 subunit of Na+/K+‐ATPase interacts with BKCa channels and affects their steady‐state expression on the cell surface. FEBS Letters. 583(19). 3109–3114. 13 indexed citations
19.
Zou, Shengwei, Smita Jha, Eun‐Young Kim, & Stuart E. Dryer. (2007). The β1 Subunit of L-Type Voltage-Gated Ca2+ Channels Independently Binds to and Inhibits the Gating of Large-Conductance Ca2+-Activated K+ Channels. Molecular Pharmacology. 73(2). 369–378. 20 indexed citations
20.
Jha, Smita, et al.. (2006). Delayed synapsing muscles are more severely affected in an experimental model of MuSK-induced myasthenia gravis. Neuroscience. 143(3). 655–659. 30 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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