Sachin Sah

1.2k total citations
10 papers, 937 citations indexed

About

Sachin Sah is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Sachin Sah has authored 10 papers receiving a total of 937 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Sachin Sah's work include Genetics and Neurodevelopmental Disorders (5 papers), Cancer Genomics and Diagnostics (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). Sachin Sah is often cited by papers focused on Genetics and Neurodevelopmental Disorders (5 papers), Cancer Genomics and Diagnostics (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). Sachin Sah collaborates with scholars based in United States. Sachin Sah's co-authors include Gary J. Latham, Andrew G. Hadd, Liangjing Chen, Flora Tassone, Stela Filipovic-Sadic, Paul J. Hagerman, Julie Krosting, Timothy T. Stenzel, Edward A. Sekinger and Wenting Zhang and has published in prestigious journals such as Clinical Chemistry, The Oncologist and Genetics in Medicine.

In The Last Decade

Sachin Sah

10 papers receiving 905 citations

Peers

Sachin Sah

GENET

MB

CN

CR

ONCOL

Julie Krosting United States

Devin McQuaid United States

Qixi Wu China

Dominique Martin‐Coignard France

Jo-Anne Herbrick Canada

Donna M. Muzny United States

Gayle Patel United States

Kirill Makedonski Israel

Bart van Lier Netherlands

Nienke Wieskamp Netherlands

Julie Krosting United States

Sachin Sah

380 ×0.6

GENET

356 ×0.7

MB

240 ×0.6

CN

122 ×0.6

CR

58 ×0.6

ONCOL

Citations per year, relative to Sachin Sah Sachin Sah (= 1×) peers Julie Krosting

Countries citing papers authored by Sachin Sah

Since Specialization

Citations

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

Fields of papers citing papers by Sachin Sah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachin Sah

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

All Works

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10 of 10 papers shown

1.

Nolin, Sarah L., Anne Glicksman, Carl Dobkin, et al.. (2014). Fragile X full mutation expansions are inhibited by one or more AGG interruptions in premutation carriers. Genetics in Medicine. 17(5). 358–364. 101 indexed citations

2.

Lee, Linda, Leona A. Doyle, Sachin Sah, et al.. (2014). Differential Expression of GNAS and KRAS Mutations in Pancreatic Cysts. PubMed. 15(6). 581–6. 18 indexed citations

3.

Chen, Liangjing, Sachin Sah, Gary J. Latham, et al.. (2014). Profiling Cancer Gene Mutations in Clinical Formalin-Fixed, Paraffin-Embedded Colorectal Tumor Specimens Using Targeted Next-Generation Sequencing. The Oncologist. 19(4). 336–343. 41 indexed citations

4.

Nolin, Sarah L., Sachin Sah, Anne Glicksman, et al.. (2013). Fragile X AGG analysis provides new risk predictions for 45–69 repeat alleles. American Journal of Medical Genetics Part A. 161(4). 771–778. 99 indexed citations

5.

Sah, Sachin, et al.. (2013). Functional DNA quantification guides accurate next-generation sequencing mutation detection in formalin-fixed, paraffin-embedded tumor biopsies. Genome Medicine. 5(8). 77–77. 67 indexed citations

6.

Hadd, Andrew G., Ashish Choudhary, Sachin Sah, et al.. (2013). Targeted, High-Depth, Next-Generation Sequencing of Cancer Genes in Formalin-Fixed, Paraffin-Embedded and Fine-Needle Aspiration Tumor Specimens. Journal of Molecular Diagnostics. 15(2). 234–247. 141 indexed citations

7.

Chen, Liangjing, Andrew G. Hadd, Sachin Sah, et al.. (2011). High-resolution methylation polymerase chain reaction for fragile X analysis: Evidence for novel FMR1 methylation patterns undetected in Southern blot analyses. Genetics in Medicine. 13(6). 528–538. 69 indexed citations

8.

Sah, Sachin, et al.. (2010). Performance evaluation of commercial miRNA expression array platforms. BMC Research Notes. 3(1). 80–80. 25 indexed citations

9.

Chen, Liangjing, Andrew G. Hadd, Sachin Sah, et al.. (2010). An Information-Rich CGG Repeat Primed PCR That Detects the Full Range of Fragile X Expanded Alleles and Minimizes the Need for Southern Blot Analysis. Journal of Molecular Diagnostics. 12(5). 589–600. 148 indexed citations

10.

Filipovic-Sadic, Stela, Sachin Sah, Liangjing Chen, et al.. (2010). A Novel FMR1 PCR Method for the Routine Detection of Low Abundance Expanded Alleles and Full Mutations in Fragile X Syndrome. Clinical Chemistry. 56(3). 399–408. 228 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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