Jennifer Seifert

2.9k total citations
44 papers, 1.3k citations indexed

About

Jennifer Seifert is a scholar working on Rheumatology, Genetics and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jennifer Seifert has authored 44 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Rheumatology, 13 papers in Genetics and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jennifer Seifert's work include Diabetes and associated disorders (13 papers), Rheumatoid Arthritis Research and Therapies (10 papers) and Diet, Metabolism, and Disease (9 papers). Jennifer Seifert is often cited by papers focused on Diabetes and associated disorders (13 papers), Rheumatoid Arthritis Research and Therapies (10 papers) and Diet, Metabolism, and Disease (9 papers). Jennifer Seifert collaborates with scholars based in United States, United Kingdom and Canada. Jennifer Seifert's co-authors include Jill M. Norris, Marian Rewers, Molly M. Lamb, George S. Eisenbarth, Brittni N. Frederiksen, Miranda Kroehl, Katherine Barriga, Michael Clare‐Salzler, Anna E. Barón and V. Michael Holers and has published in prestigious journals such as JAMA, The Journal of Immunology and PLoS ONE.

In The Last Decade

Jennifer Seifert

42 papers receiving 1.2k citations

Peers

Jennifer Seifert
Nina Tolonen Finland
Katherine Barriga United States
K. M. Gillespie United Kingdom
Gordon W. Moran United Kingdom
R. Margara United Kingdom
Ali Ramezani United States
Jennifer Seifert
Citations per year, relative to Jennifer Seifert Jennifer Seifert (= 1×) peers Malcolm R. Ogborn

Countries citing papers authored by Jennifer Seifert

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Seifert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Seifert

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Seifert. A scholar is included among the top collaborators of Jennifer Seifert 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 Jennifer Seifert. Jennifer Seifert 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
2.
Seifert, Jennifer, Jost Klawitter, Cristina Sempio, et al.. (2025). Endocannabinoid Tone and Oxylipins in Rheumatoid Arthritis and Osteoarthritis—A Novel Target for the Treatment of Pain and Inflammation?. International Journal of Molecular Sciences. 26(12). 5707–5707. 1 indexed citations
3.
Banda, Nirmal K., Larry W. Moreland, Kevin D. Deane, et al.. (2025). Analysis of human factor H-related gene and protein expression in rheumatoid arthritis synovium identifies a novel mechanism promoting dysregulated complement pathway activation. Immunobiology. 230(4). 153016–153016. 1 indexed citations
4.
Dong, Fran, Randi K. Johnson, Jennifer Seifert, et al.. (2023). Investigating iron intake in risk of progression from islet autoimmunity to type 1 diabetes: The diabetes autoimmunity study in the young. Frontiers in Immunology. 14. 1124370–1124370. 3 indexed citations
5.
Lefferts, Adam R., Michael R. Clay, Alexander Hsu, et al.. (2022). Clonal IgA and IgG autoantibodies from individuals at risk for rheumatoid arthritis identify an arthritogenic strain of Subdoligranulum. Science Translational Medicine. 14(668). eabn5166–eabn5166. 101 indexed citations
6.
Mangalea, Mihnea R., David Páez-Espino, Kristopher Kieft, et al.. (2021). Individuals at risk for rheumatoid arthritis harbor differential intestinal bacteriophage communities with distinct metabolic potential. Cell Host & Microbe. 29(5). 726–739.e5. 67 indexed citations
7.
Vanderlinden, Lauren A., Randi K. Johnson, Brian C. DeFelice, et al.. (2020). Predictors of oxylipins in a healthy pediatric population. Pediatric Research. 89(6). 1530–1540. 11 indexed citations
8.
Ghosh, Tusharkanti, Tsukasa Okamoto, Ronald P. Schuyler, et al.. (2020). Subjects at-risk for future development of rheumatoid arthritis demonstrate a PAD4-and TLR-dependent enhanced histone H3 citrullination and proinflammatory cytokine production in CD14hi monocytes. Journal of Autoimmunity. 117. 102581–102581. 16 indexed citations
9.
Bemis, Elizabeth A., M. Kristen Demoruelle, Jennifer Seifert, et al.. (2020). Factors associated with progression to inflammatory arthritis in first-degree relatives of individuals with RA following autoantibody positive screening in a non-clinical setting. Annals of the Rheumatic Diseases. 80(2). 154–161. 27 indexed citations
10.
Bemis, Elizabeth A., Jennifer Seifert, Randi K. Johnson, et al.. (2020). Association between change in self-reported sugar intake and a sugar biomarker (δ13C) in children at increased risk for type 1 diabetes. Journal of Nutritional Science. 9. e16–e16. 4 indexed citations
11.
Johnson, Randi K., Lauren A. Vanderlinden, Fran Dong, et al.. (2020). Longitudinal DNA methylation differences precede type 1 diabetes. Scientific Reports. 10(1). 3721–3721. 40 indexed citations
12.
Stathopoulos, Panos, Patrick Waters, Sarosh R. Irani, et al.. (2019). Autoantibodies against Neurologic Antigens in Nonneurologic Autoimmunity. The Journal of Immunology. 202(8). 2210–2219. 21 indexed citations
13.
DeFelice, Brian C., Theresa L. Pedersen, Hanan Shorrosh, et al.. (2019). Utilizing cooled liquid chromatography and chemical derivatization to separate and quantify C3-epimers of 25-hydroxy vitamin D and low abundant 1α,25(OH)2D3: Application in a pediatric population. The Journal of Steroid Biochemistry and Molecular Biology. 197. 105519–105519. 4 indexed citations
14.
Frederiksen, Brittni N., Jennifer Seifert, Miranda Kroehl, et al.. (2015). Timing of solid food introduction is associated with urinary F2-isoprostane concentrations in childhood. Pediatric Research. 78(4). 451–456. 8 indexed citations
15.
Lamb, Molly M., Brittni N. Frederiksen, Jennifer Seifert, et al.. (2015). Sugar intake is associated with progression from islet autoimmunity to type 1 diabetes: the Diabetes Autoimmunity Study in the Young. Diabetologia. 58(9). 2027–2034. 63 indexed citations
16.
Lamb, Molly M., Melissa Simpson, Jennifer Seifert, et al.. (2013). The Association between IgG4 Antibodies to Dietary Factors, Islet Autoimmunity and Type 1 Diabetes: The Diabetes Autoimmunity Study in the Young. PLoS ONE. 8(2). e57936–e57936. 7 indexed citations
17.
Norris, Jill M., Miranda Kroehl, Tasha E. Fingerlin, et al.. (2013). Erythrocyte membrane docosapentaenoic acid levels are associated with islet autoimmunity: the Diabetes Autoimmunity Study in the Young. Diabetologia. 57(2). 295–304. 36 indexed citations
18.
20.
Norris, Jill M., Xiang Yin, Molly M. Lamb, et al.. (2007). Omega-3 Polyunsaturated Fatty Acid Intake and Islet Autoimmunity in Children at Increased Risk for Type 1 Diabetes. JAMA. 298(12). 1420–1420. 212 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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