Swapna Abhyankar

480 total citations
18 papers, 315 citations indexed

About

Swapna Abhyankar is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Swapna Abhyankar has authored 18 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Artificial Intelligence and 4 papers in Health Information Management. Recurrent topics in Swapna Abhyankar's work include Biomedical Text Mining and Ontologies (7 papers), Machine Learning in Healthcare (4 papers) and Topic Modeling (3 papers). Swapna Abhyankar is often cited by papers focused on Biomedical Text Mining and Ontologies (7 papers), Machine Learning in Healthcare (4 papers) and Topic Modeling (3 papers). Swapna Abhyankar collaborates with scholars based in United States, France and Spain. Swapna Abhyankar's co-authors include Dina Demner‐Fushman, Clement J. McDonald, Fiona Callaghan, Kira Leishear, Laritza Rodriguez, Kirk Roberts, Halil Kilicoglu, Sonya E. Shooshan, Antonio Jimeno Yepes and Russell F. Loane and has published in prestigious journals such as Critical Care, Clinica Chimica Acta and Radiographics.

In The Last Decade

Swapna Abhyankar

17 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swapna Abhyankar United States 9 107 104 60 43 39 18 315
Vishesh Kumar United States 8 69 0.6× 86 0.8× 32 0.5× 30 0.7× 27 0.7× 32 257
Aya Awad Israel 8 141 1.3× 64 0.6× 64 1.1× 100 2.3× 28 0.7× 10 343
Marcus A. Urey United States 7 47 0.4× 119 1.1× 51 0.8× 63 1.5× 26 0.7× 32 458
Vinod C. Kaggal United States 10 127 1.2× 86 0.8× 56 0.9× 27 0.6× 31 0.8× 21 307
Georg Fette Germany 9 123 1.1× 81 0.8× 55 0.9× 31 0.7× 36 0.9× 42 328
Joseph B. Leader United States 13 52 0.5× 133 1.3× 43 0.7× 74 1.7× 31 0.8× 23 748
Jean Feng United States 11 106 1.0× 106 1.0× 32 0.5× 57 1.3× 22 0.6× 41 576
Elliot G. Arsoniadis United States 12 106 1.0× 39 0.4× 79 1.3× 65 1.5× 25 0.6× 27 358
Eiichiro Uchino Japan 10 58 0.5× 142 1.4× 12 0.2× 27 0.6× 50 1.3× 25 385
Davood Shafie Iran 13 27 0.3× 65 0.6× 29 0.5× 92 2.1× 30 0.8× 66 592

Countries citing papers authored by Swapna Abhyankar

Since Specialization
Citations

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

Fields of papers citing papers by Swapna Abhyankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swapna Abhyankar

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

All Works

18 of 18 papers shown
1.
Price, Sandy F., Swapna Abhyankar, Tanya A. Halse, et al.. (2020). Towards Unified Data Exchange Formats for Reporting Molecular Drug Susceptibility Testing. Online Journal of Public Health Informatics. 12(2). e14–e14. 1 indexed citations
2.
Dong, Xiao, Jianfu Li, Jiang Bian, et al.. (2020). COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes. Journal of the American Medical Informatics Association. 27(9). 1437–1442. 6 indexed citations
3.
4.
Vreeman, Daniel J., et al.. (2018). The LOINC RSNA radiology playbook - a unified terminology for radiology procedures. Journal of the American Medical Informatics Association. 25(7). 885–893. 1 indexed citations
5.
Wang, Kenneth C., Beverly Collins, Daniel J. Vreeman, et al.. (2017). Use of Radiology Procedure Codes in Health Care: The Need for Standardization and Structure. Radiographics. 37(4). 1099–1110. 21 indexed citations
6.
Callaghan, Fiona, et al.. (2016). Use of Electronic Health Record Data to Evaluate the Impact of Race on 30-Day Mortality in Patients Admitted to the Intensive Care Unit. Journal of Racial and Ethnic Health Disparities. 4(4). 539–548. 4 indexed citations
7.
Roberts, Kirk, Sonya E. Shooshan, Laritza Rodriguez, et al.. (2015). The role of fine-grained annotations in supervised recognition of risk factors for heart disease from EHRs. Journal of Biomedical Informatics. 58. S111–S119. 29 indexed citations
8.
Abhyankar, Swapna, et al.. (2015). An update on the use of health information technology in newborn screening. Seminars in Perinatology. 39(3). 188–193. 13 indexed citations
9.
Abhyankar, Swapna, Dina Demner‐Fushman, Fiona Callaghan, & Clement J. McDonald. (2014). Combining structured and unstructured data to identify a cohort of ICU patients who received dialysis. Journal of the American Medical Informatics Association. 21(5). 801–807. 49 indexed citations
10.
Callaghan, Fiona, Kira Leishear, Swapna Abhyankar, Dina Demner‐Fushman, & Clement J. McDonald. (2014). High vitamin B12 levels are not associated with increased mortality risk for ICU patients after adjusting for liver function: A cohort study. PubMed. 9(2). e76–e83. 19 indexed citations
11.
Abhyankar, Swapna & Dina Demner‐Fushman. (2013). A simple method to extract key maternal data from neonatal clinical notes.. PubMed. 2013. 2–9. 6 indexed citations
12.
Abhyankar, Swapna, Alan E. Zuckerman, & Clement J. McDonald. (2012). A Critical Window of Opportunity to Standardize Genetic Testing Results.. AMIA. 1 indexed citations
13.
Demner‐Fushman, Dina, Swapna Abhyankar, Antonio Jimeno Yepes, et al.. (2012). NLM at TREC 2012 Medical Records Track. Text REtrieval Conference. 5 indexed citations
14.
Abhyankar, Swapna, Dina Demner‐Fushman, & Clement J. McDonald. (2012). Standardizing clinical laboratory data for secondary use. Journal of Biomedical Informatics. 45(4). 642–650. 34 indexed citations
15.
Abhyankar, Swapna, Kira Leishear, Fiona Callaghan, Dina Demner‐Fushman, & Clement J. McDonald. (2012). Lower short- and long-term mortality associated with overweight and obesity in a large cohort study of adult intensive care unit patients. Critical Care. 16(6). R235–R235. 84 indexed citations
16.
Demner‐Fushman, Dina, Swapna Abhyankar, Antonio Jimeno Yepes, et al.. (2011). A Knowledge-Based Approach to Medical Records Retrieval.. Text REtrieval Conference. 25 indexed citations
17.
Abhyankar, Swapna, et al.. (2011). Newborn Screening Health Information Exchange: Updated Guidance for Coding and HL7 Electronic Messaging. 1 indexed citations
18.
Abhyankar, Swapna, Michele A. Lloyd-Puryear, Sara Copeland, et al.. (2010). Standardizing newborn screening results for health information exchange.. PubMed. 2010. 1–5. 15 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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