Paul R. Bohjanen

7.1k total citations
75 papers, 4.7k citations indexed

About

Paul R. Bohjanen is a scholar working on Epidemiology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Paul R. Bohjanen has authored 75 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 33 papers in Molecular Biology and 28 papers in Infectious Diseases. Recurrent topics in Paul R. Bohjanen's work include Fungal Infections and Studies (27 papers), RNA Research and Splicing (26 papers) and Antifungal resistance and susceptibility (23 papers). Paul R. Bohjanen is often cited by papers focused on Fungal Infections and Studies (27 papers), RNA Research and Splicing (26 papers) and Antifungal resistance and susceptibility (23 papers). Paul R. Bohjanen collaborates with scholars based in United States, Uganda and United Kingdom. Paul R. Bohjanen's co-authors include Irina Vlasova-St. Louis, David R. Boulware, David B. Meya, Craig B. Thompson, B Petryniak, Andrew Kambugu, Tullia Lindsten, Carl H. June, Darin L. Wiesner and Arvind Raghavan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Paul R. Bohjanen

74 papers receiving 4.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul R. Bohjanen United States 36 1.9k 1.8k 1.6k 890 407 75 4.7k
Gabriele Köhler Germany 38 1.6k 0.8× 1.3k 0.7× 656 0.4× 1.9k 2.1× 236 0.6× 88 5.2k
Maurizio Federico Italy 31 1.6k 0.8× 761 0.4× 824 0.5× 1.2k 1.3× 441 1.1× 131 3.4k
Ashlee V. Moses United States 31 923 0.5× 1.3k 0.7× 694 0.4× 1.5k 1.7× 166 0.4× 57 4.3k
Éric Champagne France 27 1.3k 0.6× 613 0.3× 807 0.5× 2.2k 2.5× 162 0.4× 60 4.5k
Peter Erb Switzerland 35 823 0.4× 971 0.5× 720 0.4× 1.8k 2.0× 85 0.2× 128 4.3k
Thiago Y. Oliveira United States 32 1.6k 0.8× 498 0.3× 1.1k 0.7× 2.4k 2.6× 157 0.4× 62 4.9k
Shen‐Ying Zhang France 33 890 0.5× 1.1k 0.6× 674 0.4× 2.5k 2.8× 155 0.4× 76 4.0k
Jean Plum Belgium 41 1.7k 0.8× 420 0.2× 807 0.5× 2.5k 2.8× 269 0.7× 168 5.3k
Sébastien Nisole France 28 1.8k 0.9× 972 0.5× 1.1k 0.7× 2.1k 2.4× 181 0.4× 75 4.3k
Alison Simmons United Kingdom 28 1.7k 0.9× 780 0.4× 417 0.3× 1.7k 1.9× 286 0.7× 69 4.0k

Countries citing papers authored by Paul R. Bohjanen

Since Specialization
Citations

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

Fields of papers citing papers by Paul R. Bohjanen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul R. Bohjanen. 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 Paul R. Bohjanen. The network helps show where Paul R. Bohjanen may publish in the future.

Co-authorship network of co-authors of Paul R. Bohjanen

This figure shows the co-authorship network connecting the top 25 collaborators of Paul R. Bohjanen. A scholar is included among the top collaborators of Paul R. Bohjanen 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 Paul R. Bohjanen. Paul R. Bohjanen 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
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Meya, David B., et al.. (2022). Impact of a Cryptococcal meningitis diagnosis and treatment program at Lira Regional Referral Hospital in rural, Northern Uganda. SHILAP Revista de lepidopterología. 2(5). e0000254–e0000254. 4 indexed citations
4.
Meya, David B., et al.. (2022). Delays in Cryptococcal Meningitis Diagnosis and Care: A Mixed Methods Study in Rural Uganda. Annals of Global Health. 88(1). 22–22. 15 indexed citations
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Debes, José D., et al.. (2016). Fatty Liver in Hispanics with HIV. AIDS Research and Human Retroviruses. 32(6). 515–516. 2 indexed citations
7.
Debes, José D., Paul R. Bohjanen, & André Boonstra. (2016). Mechanisms of Accelerated Liver Fibrosis Progression during HIV Infection. Journal of Clinical and Translational Hepatology. 4(4). 328–335. 39 indexed citations
8.
Bahr, Nathan C., George A. Sarosi, David B. Meya, et al.. (2015). Seroprevalence of histoplasmosis in Kampala, Uganda. Medical Mycology. 54(3). 295–300. 23 indexed citations
9.
Musubire, Abdu K, David B. Meya, Robert Lukande, et al.. (2015). Gastrointestinal cryptococcoma – Immune reconstitution inflammatory syndrome or cryptococcal relapse in a patient with AIDS?. Medical Mycology Case Reports. 8. 40–43. 3 indexed citations
10.
Louis, Irina Vlasova-St. & Paul R. Bohjanen. (2014). Post-Transcriptional Regulation of Cytokine Signaling by AU-Rich and GU-Rich Elements. Journal of Interferon & Cytokine Research. 34(4). 233–241. 37 indexed citations
11.
Wiesner, Darin L., Jennifer Corcoran, Tami McDonald, et al.. (2012). Cryptococcal Genotype Influences Immunologic Response and Human Clinical Outcome after Meningitis. mBio. 3(5). 72 indexed citations
12.
Mayanja‐Kizza, Harriet, et al.. (2012). Challenges in diagnosis and management of Cryptococcal immune reconstitution inflammatory syndrome (IRIS) in resource limited settings. African Health Sciences. 12(2). 226–30. 22 indexed citations
13.
Beisang, Daniel, Bernd Rattenbacher, Irina Vlasova-St. Louis, & Paul R. Bohjanen. (2011). Regulation of CUG-binding Protein 1 (CUGBP1) Binding to Target Transcripts upon T Cell Activation. Journal of Biological Chemistry. 287(2). 950–960. 44 indexed citations
14.
Rattenbacher, Bernd & Paul R. Bohjanen. (2011). Evaluating Posttranscriptional Regulation of Cytokine Genes. Methods in molecular biology. 820. 71–89. 16 indexed citations
15.
Boulware, David R., David B. Meya, Darin L. Wiesner, et al.. (2010). Paucity of Initial Cerebrospinal Fluid Inflammation in Cryptococcal Meningitis Is Associated with Subsequent Immune Reconstitution Inflammatory Syndrome. The Journal of Infectious Diseases. 202(6). 962–970. 153 indexed citations
16.
Kambugu, Andrew, David B. Meya, Joshua Rhein, et al.. (2008). Outcomes of Cryptococcal Meningitis in Uganda Before and After the Availability of Highly Active Antiretroviral Therapy. Clinical Infectious Diseases. 46(11). 1694–1701. 227 indexed citations
17.
Hau, Heidi H., et al.. (2006). Tristetraprolin recruits functional mRNA decay complexes to ARE sequences. Journal of Cellular Biochemistry. 100(6). 1477–1492. 89 indexed citations
18.
Louis, Irina Vlasova-St., Jennifer McNabb, Arvind Raghavan, et al.. (2005). Coordinate stabilization of growth-regulatory transcripts in T cell malignancies. Genomics. 86(2). 159–171. 22 indexed citations
19.
Bohjanen, Paul R.. (1996). A small circular TAR RNA decoy specifically inhibits Tat-activated HIV- 1 transcription. Nucleic Acids Research. 24(19). 3733–3738. 62 indexed citations
20.
Thompson, Craig B., I‐Cheng Ho, Paul R. Bohjanen, et al.. (1992). cis -Acting Sequences Required for Inducible Interleukin-2 Enhancer Function Bind a Novel Ets-Related Protein, Elf-1. Molecular and Cellular Biology. 12(3). 1043–1053. 66 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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