William Blattner

606 total citations
8 papers, 457 citations indexed

About

William Blattner is a scholar working on Immunology, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, William Blattner has authored 8 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Agronomy and Crop Science. Recurrent topics in William Blattner's work include T-cell and Retrovirus Studies (6 papers), Animal Disease Management and Epidemiology (4 papers) and Vector-Borne Animal Diseases (4 papers). William Blattner is often cited by papers focused on T-cell and Retrovirus Studies (6 papers), Animal Disease Management and Epidemiology (4 papers) and Vector-Borne Animal Diseases (4 papers). William Blattner collaborates with scholars based in United States, Jamaica and Nigeria. William Blattner's co-authors include Elaine S. Jaffe, Marjorie Robert-Guroff, Douglas W. Blayney, Robert C. Young, Geraldine P. Schechter, Robert C. Gallo, Samuel Broder, Mary J. Matthews, Paul A. Bunn and Angela Manns and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.

In The Last Decade

William Blattner

8 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Blattner United States 8 359 193 189 82 70 8 457
Helenemarie S. Barbosa Brazil 10 204 0.6× 84 0.4× 123 0.7× 112 1.4× 76 1.1× 20 372
Yoshitaka Inoue Japan 13 310 0.9× 131 0.7× 182 1.0× 76 0.9× 52 0.7× 38 514
K Uozumi Japan 5 394 1.1× 217 1.1× 267 1.4× 42 0.5× 17 0.2× 16 501
Gill Ps United States 9 180 0.5× 85 0.4× 87 0.5× 88 1.1× 13 0.2× 17 342
T Amagasaki Japan 15 647 1.8× 470 2.4× 487 2.6× 50 0.6× 27 0.4× 34 785
Masaharu Miyahara Japan 11 173 0.5× 62 0.3× 86 0.5× 79 1.0× 13 0.2× 32 321
Shogo Takeuchi Japan 11 189 0.5× 67 0.3× 87 0.5× 51 0.6× 47 0.7× 20 343
Sílvia Maia Farias de Carvalho Brazil 12 174 0.5× 92 0.5× 93 0.5× 31 0.4× 11 0.2× 18 402
Hiroshi Sao Japan 15 478 1.3× 120 0.6× 151 0.8× 27 0.3× 6 0.1× 40 912
Maria Grazia Ferrari United States 8 164 0.5× 89 0.5× 76 0.4× 87 1.1× 5 0.1× 13 321

Countries citing papers authored by William Blattner

Since Specialization
Citations

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

Fields of papers citing papers by William Blattner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Blattner

This figure shows the co-authorship network connecting the top 25 collaborators of William Blattner. A scholar is included among the top collaborators of William Blattner 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 William Blattner. William Blattner 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.
Dakum, Patrick, et al.. (2015). Correlates of Patient Retention in HIV Care and Treatment Programs in Nigeria. Current HIV Research. 13(4). 300–307. 16 indexed citations
2.
Aliyu, Gambo, Samer S. El‐Kamary, Alash’le Abimiku, et al.. (2013). Mycobacterial Etiology of Pulmonary Tuberculosis and Association with HIV Infection and Multidrug Resistance in Northern Nigeria. SHILAP Revista de lepidopterología. 2013. 1–9. 21 indexed citations
3.
Lal, Renu B., Elizabeth M. Maloney, Stefan Z. Wiktor, et al.. (1999). Estimating the time of HTLV-I infection following mother-to-child transmission in a breast-feeding population in Jamaica. Journal of Medical Virology. 59(4). 541–546. 14 indexed citations
4.
Manns, Angela, Jun‐mo Nam, William Blattner, et al.. (1998). Human Leukocyte Antigen Class II Alleles Associated With Human T-Cell Lymphotropic Virus Type I Infection and Adult T-Cell Leukemia/Lymphoma in a Black Population. JNCI Journal of the National Cancer Institute. 90(8). 617–622. 35 indexed citations
5.
Bartholomew, Courtenay, Farley Cleghorn, Noreen Jack, Robert J. Edwards, & William Blattner. (1997). Human T‐cell lymphotropic virus type I‐associated facial nerve palsy in trinidad and tobago. Annals of Neurology. 41(6). 806–809. 17 indexed citations
6.
Sng, Ivy, et al.. (1992). T‐cell lymphoma in Singapore: pathology, clinical findings and association with HTLV‐1 antibodies. Histopathology. 21(2). 101–113. 8 indexed citations
7.
Jaffe, Elaine S., Jeffrey W. Clark, Ronald G. Steis, et al.. (1985). Lymph node pathology of HTLV and HTLV-associated neoplasms.. PubMed. 45(9 Suppl). 4662s–4664s. 14 indexed citations
8.
Bunn, Paul A., Geraldine P. Schechter, Elaine S. Jaffe, et al.. (1983). Clinical Course of Retrovirus-Associated Adult T-Cell Lymphoma in the United States. New England Journal of Medicine. 309(5). 257–264. 332 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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