David Seftel

607 total citations
16 papers, 295 citations indexed

About

David Seftel is a scholar working on Infectious Diseases, Genetics and Surgery. According to data from OpenAlex, David Seftel has authored 16 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Genetics and 5 papers in Surgery. Recurrent topics in David Seftel's work include Diabetes and associated disorders (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and SARS-CoV-2 detection and testing (5 papers). David Seftel is often cited by papers focused on Diabetes and associated disorders (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and SARS-CoV-2 detection and testing (5 papers). David Seftel collaborates with scholars based in United States, Sweden and Italy. David Seftel's co-authors include David R. Boulware, Peter V. Robinson, Cheng‐ting Tsai, Felipe de Jesus Cortez, Carolyn R. Bertozzi, Mark Pandori, Kevin Miller, Matthew M. Roforth, Carla J. Greenbaum and Sean J. Pittock and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Diabetes.

In The Last Decade

David Seftel

15 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Seftel United States	9	116	101	61	56	47	16	295
David Dobesh United States	3	102 0.9×	46 0.5×	36 0.6×	57 1.0×	17 0.4×	5	277
Olatz Mompeó United Kingdom	8	48 0.4×	97 1.0×	20 0.3×	20 0.4×	19 0.4×	9	214
Bandik Föh Germany	7	62 0.5×	75 0.7×	16 0.3×	16 0.3×	16 0.3×	17	198
Lavanya Visvabharathy United States	13	127 1.1×	78 0.8×	111 1.8×	13 0.2×	6 0.1×	24	362
Yi-Ying Lin Taiwan	10	92 0.8×	38 0.4×	31 0.5×	13 0.2×	31 0.7×	19	278
Erica Royster United States	9	9 0.1×	55 0.5×	10 0.2×	39 0.7×	21 0.4×	13	396
Sandra Smieszek United States	7	109 0.9×	55 0.5×	62 1.0×	18 0.3×	3 0.1×	28	268
Javier Gilbert‐Jaramillo United Kingdom	8	46 0.4×	66 0.7×	15 0.2×	10 0.2×	4 0.1×	14	216
Ryan Park United States	5	162 1.4×	64 0.6×	122 2.0×	6 0.1×	20 0.4×	5	281

Countries citing papers authored by David Seftel

Since Specialization

Citations

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

Fields of papers citing papers by David Seftel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Seftel

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

All Works

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16 of 16 papers shown

Krischer, Jeffrey P., Sarah Müller, Peter Achenbach, et al.. (2025). Comparative Analysis of the Sensitivity, Specificity, Concordance, and 5-Year Predictive Power of Diabetes-Related Autoantibody Assays. Diabetes. 74(9). 1535–1546.

AlRuthia, Yazed, Muhammad Mujammami, Metib Alotaibi, et al.. (2025). Early Detection of Type 1 Diabetes in First-Degree Relatives in Saudi Arabia (VISION-T1D): Protocol for a Pilot Implementation Study. JMIR Research Protocols. 14. e70575–e70575. 1 indexed citations

Oron, Tal, Felipe de Jesus Cortez, Biana Shtaif, et al.. (2024). Detection of Islet Autoantibodies in Whole Blood by Antibody Detection by Agglutination-PCR (ADAP) Technology Is Sensitive and Suitable for General Population Screening Programs. Pediatric Diabetes. 2024. 1–8. 1 indexed citations

Cortez, Felipe de Jesus, et al.. (2024). Advances in risk predictive performance of pre-symptomatic type 1 diabetes via the multiplex Antibody-Detection-by-Agglutination-PCR assay. Frontiers in Endocrinology. 15. 1340436–1340436. 1 indexed citations

Lim, Esther, Megha Mehrotra, Katherine Lamba, et al.. (2024). CalScope: methodology and lessons learned for conducting a remote statewide SARS-CoV-2 seroprevalence study in California using an at-home dried blood spot collection kit and online survey. BMC Medical Research Methodology. 24(1). 120–120. 2 indexed citations

Mehrotra, Megha, Esther Lim, Katherine Lamba, et al.. (2022). CalScope: Monitoring Severe Acute Respiratory Syndrome Coronavirus 2 Seroprevalence From Vaccination and Prior Infection in Adults and Children in California May 2021–July 2021. Open Forum Infectious Diseases. 9(7). ofac246–ofac246. 10 indexed citations

Bagri, Anil, Rafael Ramiro de Assis, Cheng‐ting Tsai, et al.. (2022). Antibody profiles in COVID‐19 convalescent plasma prepared with amotosalen/UVA pathogen reduction treatment. Transfusion. 62(3). 570–583. 3 indexed citations

Cortez, Felipe de Jesus, Peter V. Robinson, David Seftel, et al.. (2022). Automation of a multiplex agglutination-PCR (ADAP) type 1 diabetes (T1D) assay for the rapid analysis of islet autoantibodies. SLAS TECHNOLOGY. 27(1). 26–31. 8 indexed citations

Lind, A. R., Felipe de Jesus Cortez, Anita Ramelius, et al.. (2022). Multiplex agglutination-PCR (ADAP) autoantibody assays compared to radiobinding autoantibodies in type 1 diabetes and celiac disease. Journal of Immunological Methods. 506. 113265–113265. 19 indexed citations

10.

Cummings, Kristin J., Carl V. Hanson, Mary Kate Morris, et al.. (2021). Effectiveness of Abbott BinaxNOW Rapid Antigen Test for Detection of SARS-CoV-2 Infections in Outbreak among Horse Racetrack Workers, California, USA. Emerging infectious diseases. 27(11). 2761–2767. 10 indexed citations

11.

Seftel, David & David R. Boulware. (2021). Prospective Cohort of Fluvoxamine for Early Treatment of Coronavirus Disease 19. Open Forum Infectious Diseases. 8(2). ofab050–ofab050. 106 indexed citations

12.

Seftel, David, et al.. (2020). A serological assay to detect SARS-CoV-2 antibodies in at-home collected finger-prick dried blood spots. Scientific Reports. 10(1). 20188–20188. 47 indexed citations

13.

Robinson, Peter V., et al.. (2020). Sensitive and Specific Detection of SARS-CoV-2 Antibodies Using a High-Throughput, Fully Automated Liquid-Handling Robotic System. SLAS TECHNOLOGY. 25(6). 545–552. 21 indexed citations

14.

Cortez, Felipe de Jesus, Peter V. Robinson, David Seftel, et al.. (2020). Sensitive detection of multiple islet autoantibodies in type 1 diabetes using small sample volumes by agglutination-PCR. PLoS ONE. 15(11). e0242049–e0242049. 30 indexed citations

15.

Tsai, Cheng‐ting, Peter V. Robinson, Felipe de Jesus Cortez, et al.. (2018). Antibody detection by agglutination–PCR (ADAP) enables early diagnosis of HIV infection by oral fluid analysis. Proceedings of the National Academy of Sciences. 115(6). 1250–1255. 33 indexed citations

16.

Seftel, David. (2000). AIDS and apartheid: double trouble.. PubMed. 17–22. 3 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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