Joanna Schaenman

2.4k total citations
81 papers, 897 citations indexed

About

Joanna Schaenman is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Joanna Schaenman has authored 81 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Epidemiology, 29 papers in Infectious Diseases and 26 papers in Surgery. Recurrent topics in Joanna Schaenman's work include Transplantation: Methods and Outcomes (21 papers), Cytomegalovirus and herpesvirus research (19 papers) and Renal Transplantation Outcomes and Treatments (16 papers). Joanna Schaenman is often cited by papers focused on Transplantation: Methods and Outcomes (21 papers), Cytomegalovirus and herpesvirus research (19 papers) and Renal Transplantation Outcomes and Treatments (16 papers). Joanna Schaenman collaborates with scholars based in United States, Canada and Australia. Joanna Schaenman's co-authors include Diana F. Florescu, Suphamai Bunnapradist, Barbara J. Mann, William A. Petri, Elaine F. Reed, Phuong-Thu Pham, Carol A. Gilchrist, Phuong‐Chi Pham, Erik L. Lum and Dora Y. Ho and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Joanna Schaenman

74 papers receiving 887 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joanna Schaenman United States 17 305 287 217 180 154 81 897
Nicolas C. Issa United States 18 551 1.8× 307 1.1× 186 0.9× 183 1.0× 171 1.1× 57 978
K.V. Johny Kuwait 19 358 1.2× 211 0.7× 163 0.8× 78 0.4× 148 1.0× 90 1.1k
Steven D. Mawhorter United States 18 455 1.5× 227 0.8× 313 1.4× 79 0.4× 170 1.1× 30 971
Vanda Friman Sweden 19 359 1.2× 419 1.5× 140 0.6× 204 1.1× 78 0.5× 60 1.2k
Cédric Hirzel Switzerland 16 338 1.1× 388 1.4× 92 0.4× 162 0.9× 50 0.3× 58 816
Dino Sgarabotto Italy 14 839 2.8× 347 1.2× 124 0.6× 206 1.1× 92 0.6× 45 1.2k
M. Green United States 17 719 2.4× 422 1.5× 244 1.1× 425 2.4× 156 1.0× 29 1.3k
Albert Eid United States 13 617 2.0× 356 1.2× 120 0.6× 261 1.4× 87 0.6× 20 969
Alice Tung Wan Song Brazil 19 321 1.1× 233 0.8× 312 1.4× 69 0.4× 241 1.6× 62 1.3k
Maha Assi United States 17 1.1k 3.6× 852 3.0× 174 0.8× 110 0.6× 90 0.6× 36 1.4k

Countries citing papers authored by Joanna Schaenman

Since Specialization
Citations

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

Fields of papers citing papers by Joanna Schaenman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanna Schaenman

This figure shows the co-authorship network connecting the top 25 collaborators of Joanna Schaenman. A scholar is included among the top collaborators of Joanna Schaenman 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 Joanna Schaenman. Joanna Schaenman 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.
Hsu, Fei‐Man, Harry Pickering, Liudmilla Rubbi, et al.. (2025). DNA methylation predicts infection risk in kidney transplant recipients. Life Science Alliance. 8(7). e202403124–e202403124.
2.
3.
Schaenman, Joanna, Harry Pickering, Elaine F. Reed, et al.. (2024). T cell immune senescence is associated with frailty and sarcopenia in lung transplant candidates. SHILAP Revista de lepidopterología. 7. 100199–100199.
4.
5.
Sigdel, Tara K., Priyanka Rashmi, David Gjertson, et al.. (2023). Plasma proteome perturbation for CMV DNAemia in kidney transplantation. PLoS ONE. 18(5). e0285870–e0285870. 2 indexed citations
6.
Brook, Jenny, et al.. (2022). Predictors of COVID-19 outcomes: Interplay of frailty, comorbidity, and age in COVID-19 prognosis. Medicine. 101(51). e32343–e32343.
7.
Schaenman, Joanna, Maura Rossetti, Emily C. Liang, et al.. (2021). Leukocyte transcriptome indicators of development of infection in kidney transplant recipients. Clinical Transplantation. 35(4). e14252–e14252. 2 indexed citations
8.
Pickering, Harry, Subha Sen, Janice Arakawa‐Hoyt, et al.. (2021). NK and CD8+ T cell phenotypes predict onset and control of CMV viremia after kidney transplant. JCI Insight. 6(21). 20 indexed citations
9.
Lum, Erik L., Suphamai Bunnapradist, Ashrit Multani, et al.. (2020). Spectrum of Coronavirus Disease 2019 Outcomes in Kidney Transplant Recipients: A Single-Center Experience. Transplantation Proceedings. 52(9). 2654–2658. 13 indexed citations
10.
Schaenman, Joanna, et al.. (2020). Early cytomegalovirus DNAemia and antiviral dose adjustment in high vs intermediate risk kidney transplant recipients. Transplant Infectious Disease. 23(1). e13457–e13457. 9 indexed citations
11.
Schaenman, Joanna, Joshua M. Diamond, John R. Greenland, et al.. (2020). Frailty and aging-associated syndromes in lung transplant candidates and recipients. American Journal of Transplantation. 21(6). 2018–2024. 40 indexed citations
12.
Schaenman, Joanna, et al.. (2019). Screening of donors and recipients for infections prior to solid organ transplantation. Current Opinion in Organ Transplantation. 24(4). 456–464. 2 indexed citations
13.
Iyengar, Amit, Nicholas Wisniewski, Martín Cadeiras, et al.. (2019). Temporal expression of cytokines and B-cell phenotypes during mechanical circulatory support. Journal of Thoracic and Cardiovascular Surgery. 159(1). 155–163. 3 indexed citations
14.
Schaenman, Joanna, Maura Rossetti, Gemalene Sunga, et al.. (2018). Association of pro-inflammatory cytokines and monocyte subtypes in older and younger patients on clinical outcomes after mechanical circulatory support device implantation. Human Immunology. 80(2). 126–134. 3 indexed citations
15.
Datta, Nakul, et al.. (2018). Screening Coccidioides serology in kidney transplant recipients: A 10‐year cross‐sectional analysis. Transplant Infectious Disease. 20(5). e12932–e12932. 4 indexed citations
16.
Lum, Erik L., et al.. (2015). A Case Report of CMV Lymphadenitis in an Adult Kidney Transplant Recipient. Transplantation Proceedings. 47(1). 141–145. 3 indexed citations
17.
Mehta, Seema, T. Khuu, David J. Ross, et al.. (2013). Extended Spectrum β-Lactamase–Producing Enterobacteriaceae Infection in Heart and Lung Transplant Recipients and in Mechanical Circulatory Support Recipients. Transplantation. 97(5). 590–594. 13 indexed citations
18.
Schaenman, Joanna, et al.. (2010). Treatment of Acyclovir-Resistant Herpes Simplex Virus with Continuous Infusion of High-Dose Acyclovir in Hematopoietic Cell Transplant Patients. Biology of Blood and Marrow Transplantation. 17(2). 259–264. 28 indexed citations
19.
Schaenman, Joanna, Daniel B. DiGiulio, Laurence F. Mirels, et al.. (2005). Scedosporium apiospermum Soft Tissue Infection Successfully Treated with Voriconazole: Potential Pitfalls in the Transition from Intravenous to Oral Therapy. Journal of Clinical Microbiology. 43(2). 973–977. 32 indexed citations
20.
Schaenman, Joanna, et al.. (1998). An upstream regulatory element containing two nine basepair repeats regulates expression of the Entamoeba histolytica hgl5 lectin gene. Molecular and Biochemical Parasitology. 94(2). 309–313. 10 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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