Andy Joe Seelam

1.2k total citations · 1 hit paper
8 papers, 324 citations indexed

About

Andy Joe Seelam is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Andy Joe Seelam has authored 8 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Genetics. Recurrent topics in Andy Joe Seelam's work include Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (3 papers) and T-cell and B-cell Immunology (2 papers). Andy Joe Seelam is often cited by papers focused on Diabetes and associated disorders (3 papers), Pancreatic function and diabetes (3 papers) and T-cell and B-cell Immunology (2 papers). Andy Joe Seelam collaborates with scholars based in United States, Italy and Egypt. Andy Joe Seelam's co-authors include Moufida Ben Nasr, Paolo Fiorina, Emma Assi, Cristian Loretelli, Francesca D’Addio, Vera Usuelli, Ida Pastore, Gianvincenzo Zuccotti, Basset El Essawy and Jun Young Jang and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Diabetes.

In The Last Decade

Andy Joe Seelam

8 papers receiving 323 citations

Hit Papers

The anti-inflammatory and immunological properties of GLP... 2022 2026 2023 2024 2022 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andy Joe Seelam United States 7 153 98 80 59 39 8 324
J. Y. Park South Korea 6 168 1.1× 50 0.5× 146 1.8× 86 1.5× 37 0.9× 6 377
Junling Liu China 12 191 1.2× 221 2.3× 185 2.3× 67 1.1× 31 0.8× 21 453
Aaron Chidakel United States 7 171 1.1× 63 0.6× 57 0.7× 20 0.3× 45 1.2× 8 291
Massimo Realacci Italy 11 69 0.5× 80 0.8× 57 0.7× 66 1.1× 41 1.1× 17 321
Laura G.M. Janssen Netherlands 9 104 0.7× 47 0.5× 56 0.7× 63 1.1× 87 2.2× 15 271
Spyridon Gerou Greece 10 57 0.4× 68 0.7× 147 1.8× 43 0.7× 22 0.6× 31 393
Jonathan Pham United States 10 142 0.9× 153 1.6× 132 1.6× 56 0.9× 69 1.8× 16 365
Urszula Ambroziak Poland 14 335 2.2× 183 1.9× 96 1.2× 36 0.6× 22 0.6× 54 491
Sema Uçak Türkiye 12 120 0.8× 42 0.4× 81 1.0× 23 0.4× 49 1.3× 24 392
Viera Habalová Slovakia 12 86 0.6× 91 0.9× 168 2.1× 60 1.0× 49 1.3× 39 424

Countries citing papers authored by Andy Joe Seelam

Since Specialization
Citations

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

Fields of papers citing papers by Andy Joe Seelam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andy Joe Seelam. 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 Andy Joe Seelam. The network helps show where Andy Joe Seelam may publish in the future.

Co-authorship network of co-authors of Andy Joe Seelam

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

All Works

8 of 8 papers shown
1.
Yamamura, Yuta, Gianmarco Sabiu, Jing Zhao, et al.. (2025). CXCL12+ fibroblastic reticular cells in lymph nodes facilitate immune tolerance by regulating T cell–mediated alloimmunity. Journal of Clinical Investigation. 135(9). 1 indexed citations
2.
Fotino, Carmen, R. Damaris Molano, Moufida Ben Nasr, et al.. (2023). Reversal of Experimental Autoimmune Diabetes With an sCD39/Anti-CD3 Treatment. Diabetes. 72(11). 1641–1651. 6 indexed citations
3.
Bendotti, Giulia, Laura Montefusco, Maria Elena Lunati, et al.. (2022). The anti-inflammatory and immunological properties of GLP-1 Receptor Agonists. Pharmacological Research. 182. 106320–106320. 217 indexed citations breakdown →
4.
Nasr, Moufida Ben, Vera Usuelli, Andy Joe Seelam, et al.. (2021). Regulatory B Cells in Autoimmune Diabetes. The Journal of Immunology. 206(6). 1117–1125. 12 indexed citations
5.
Gaggi, Giulia, Lucrezia Rinaldi, Mahmoud A. Bassal, et al.. (2021). NAD Modulates DNA Methylation and Cell Differentiation. Cells. 10(11). 2986–2986. 16 indexed citations
6.
Pastore, Ida, Emma Assi, Moufida Ben Nasr, et al.. (2021). Hematopoietic Stem Cells in Type 1 Diabetes. Frontiers in Immunology. 12. 694118–694118. 14 indexed citations
7.
Assi, Emma, Francesca D’Addio, Chiara Mandò, et al.. (2020). Placental proteome abnormalities in women with gestational diabetes and large-for-gestational-age newborns. BMJ Open Diabetes Research & Care. 8(2). e001586–e001586. 23 indexed citations
8.
Loretelli, Cristian, Emma Assi, Andy Joe Seelam, Moufida Ben Nasr, & Paolo Fiorina. (2020). Cell therapy for type 1 diabetes. Expert Opinion on Biological Therapy. 20(8). 887–897. 35 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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