Adam Idica

640 total citations
20 papers, 458 citations indexed

About

Adam Idica is a scholar working on Transplantation, Molecular Biology and Cancer Research. According to data from OpenAlex, Adam Idica has authored 20 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Transplantation, 7 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Adam Idica's work include Renal Transplantation Outcomes and Treatments (10 papers), MicroRNA in disease regulation (6 papers) and RNA modifications and cancer (3 papers). Adam Idica is often cited by papers focused on Renal Transplantation Outcomes and Treatments (10 papers), MicroRNA in disease regulation (6 papers) and RNA modifications and cancer (3 papers). Adam Idica collaborates with scholars based in United States, India and Germany. Adam Idica's co-authors include Irene M. Pedersen, Dimitrios G. Zisoulis, Matthias Hamdorf, Paul I. Terasaki, Katie Sanders, Nori Sasaki, Iben Daugaard, Pranjal Modi, A Feroz and Hugo Kaneku and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Virology and International Journal of Molecular Sciences.

In The Last Decade

Adam Idica

20 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adam Idica United States 11 204 151 125 85 79 20 458
Ming Cai China 13 54 0.3× 133 0.9× 149 1.2× 87 1.0× 7 0.1× 43 349
Frauke Friedrichs Germany 10 121 0.6× 18 0.1× 75 0.6× 53 0.6× 44 0.6× 16 398
Fumihiro Azuma Japan 10 89 0.4× 63 0.4× 330 2.6× 48 0.6× 28 0.4× 22 568
Baldeep Wirk United States 10 96 0.5× 40 0.3× 52 0.4× 32 0.4× 25 0.3× 32 348
Yi He China 13 184 0.9× 27 0.2× 82 0.7× 23 0.3× 31 0.4× 110 562
S Kim South Korea 11 60 0.3× 31 0.2× 67 0.5× 72 0.8× 27 0.3× 30 437
C.H. Schröder Netherlands 12 131 0.6× 34 0.2× 34 0.3× 52 0.6× 11 0.1× 20 426
K Lorré Belgium 13 84 0.4× 32 0.2× 359 2.9× 43 0.5× 19 0.2× 22 539
Neema P. Mayor United Kingdom 11 87 0.4× 113 0.7× 467 3.7× 27 0.3× 12 0.2× 60 652
G. J. Laundy United Kingdom 11 47 0.2× 47 0.3× 223 1.8× 36 0.4× 8 0.1× 31 415

Countries citing papers authored by Adam Idica

Since Specialization
Citations

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

Fields of papers citing papers by Adam Idica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam Idica

This figure shows the co-authorship network connecting the top 25 collaborators of Adam Idica. A scholar is included among the top collaborators of Adam Idica 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 Adam Idica. Adam Idica 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
1.
Henderson, Raymond, Declan French, Elaine Stewart, et al.. (2023). Delivering the precision oncology paradigm: reduced R&D costs and greater return on investment through a companion diagnostic informed precision oncology medicines approach. Journal of Pharmaceutical Policy and Practice. 16(1). 84–84. 11 indexed citations
2.
Sevrioukov, Evgueni A., Adam Idica, Eddie Park, et al.. (2019). miR-128 Restriction of LINE-1 (L1) Retrotransposition Is Dependent on Targeting hnRNPA1 mRNA. International Journal of Molecular Sciences. 20(8). 1955–1955. 13 indexed citations
3.
Bochnakian, Aurore, Anjie Zhen, Dimitrios G. Zisoulis, et al.. (2019). Interferon-Inducible MicroRNA miR-128 Modulates HIV-1 Replication by Targeting TNPO3 mRNA. Journal of Virology. 93(20). 26 indexed citations
4.
Sanders, Katie, Adam Idica, Aurore Bochnakian, et al.. (2018). miR-128 inhibits telomerase activity by targeting TERT mRNA. Oncotarget. 9(17). 13244–13253. 28 indexed citations
5.
Idica, Adam, Evgueni A. Sevrioukov, Dimitrios G. Zisoulis, et al.. (2017). MicroRNA miR-128 represses LINE-1 (L1) retrotransposition by down-regulating the nuclear import factor TNPO1. Journal of Biological Chemistry. 292(50). 20494–20508. 24 indexed citations
6.
Daugaard, Iben, Katie Sanders, Adam Idica, et al.. (2017). miR-151a induces partial EMT by regulating E-cadherin in NSCLC cells. Oncogenesis. 6(7). e366–e366. 62 indexed citations
7.
Rieß, Maximilian, Nina V. Fuchs, Adam Idica, et al.. (2016). Interferons Induce Expression of SAMHD1 in Monocytes through Down-regulation of miR-181a and miR-30a. Journal of Biological Chemistry. 292(1). 264–277. 42 indexed citations
8.
Idica, Adam & Matthew J. Everly. (2016). Donor-Specific HLA Antibodies: A Review of Data Published in 2016.. PubMed. 32. 13–22. 1 indexed citations
9.
Hamdorf, Matthias, Adam Idica, Dimitrios G. Zisoulis, et al.. (2015). miR-128 represses L1 retrotransposition by binding directly to L1 RNA. Nature Structural & Molecular Biology. 22(10). 824–831. 50 indexed citations
10.
Idica, Adam, et al.. (2015). Using Undergraduate Molecular Biology Labs to Discover Targets of miRNAs in Humans. CourseSource. 2. 2 indexed citations
11.
Sasaki, Nori & Adam Idica. (2010). The HLA-matching effect in different cohorts of kidney transplant recipients: 10 years later.. PubMed. 261–82. 19 indexed citations
12.
Trivedi, Hargovind L., Paul I. Terasaki, A Feroz, et al.. (2009). Abrogation of Anti-HLA Antibodies via Proteasome Inhibition. Transplantation. 87(10). 1555–1561. 129 indexed citations
13.
Kaneku, Hugo, et al.. (2009). Clonal deletion using total lymphoid irradiation with no maintenance immunosuppression in renal allograft recipients.. PubMed. 265–80. 8 indexed citations
14.
Sasaki, Nori, Adam Idica, & Paul I. Terasaki. (2008). Mimetic Human Leukocyte Antigen Epitopes: Shown by Monoclonal Antibodies and Extra Antibodies Produced on Transplantation. Transplantation. 86(7). 912–918. 5 indexed citations
15.
Sasaki, Nori, Adam Idica, & Paul I. Terasaki. (2008). Is There a Differential Strength of Specific HLA Mismatches in Kidney Transplants?. Transplantation Proceedings. 40(4). 1091–1094. 1 indexed citations
16.
Sasaki, Nori, Adam Idica, Bob Hall, & Paul I. Terasaki. (2008). Using the mimetic epitope concept to find a possible way to widen the graft-survival difference between matched and mismatched renal transplants.. PubMed. 241–52. 1 indexed citations
17.
Kaneku, Hugo, et al.. (2008). Donor-specific HLA antibody response in clonal deletion.. PubMed. 189–98. 2 indexed citations
18.
Idica, Adam, et al.. (2008). Elimination of post-transplant donor-specific HLA antibodies with bortezomib.. PubMed. 229–39. 23 indexed citations
19.
Idica, Adam, et al.. (2006). Unexpected frequencies of HLA antibody specificities present in sera of multitransfused patients.. PubMed. 139–59. 7 indexed citations
20.
Idica, Adam, et al.. (2006). Unexpected frequencies of HLA antibody specificities in the sera of pre-transplant kidney patients.. PubMed. 161–70. 4 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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