Beth A. Pulaski

2.4k total citations · 1 hit paper
20 papers, 2.0k citations indexed

About

Beth A. Pulaski is a scholar working on Immunology, Oncology and Biotechnology. According to data from OpenAlex, Beth A. Pulaski has authored 20 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 13 papers in Oncology and 4 papers in Biotechnology. Recurrent topics in Beth A. Pulaski's work include Immunotherapy and Immune Responses (16 papers), Immune Cell Function and Interaction (10 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Beth A. Pulaski is often cited by papers focused on Immunotherapy and Immune Responses (16 papers), Immune Cell Function and Interaction (10 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Beth A. Pulaski collaborates with scholars based in United States. Beth A. Pulaski's co-authors include Suzanne Ostrand‐Rosenberg, Virginia K. Clements, Pratima Sinha, Mileka Gilbert, John G. Frelinger, Edith M. Lord, Alexander J. McAdam, David S. Terman, Shahzada Khan and Eric Muller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Molecular and Cellular Biology.

In The Last Decade

Beth A. Pulaski

20 papers receiving 1.9k citations

Hit Papers

Mouse 4T1 Breast Tumor Model 2000 2026 2008 2017 2000 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beth A. Pulaski United States 16 942 867 660 222 195 20 2.0k
Abdul Qader Sukkurwala France 14 1.3k 1.4× 932 1.1× 883 1.3× 169 0.8× 351 1.8× 17 2.6k
Laura Conti Italy 31 901 1.0× 723 0.8× 961 1.5× 396 1.8× 268 1.4× 88 2.5k
Wolfgang Kemmner Germany 24 714 0.8× 624 0.7× 1.7k 2.6× 351 1.6× 206 1.1× 63 2.5k
Laurie Menger France 16 1.6k 1.7× 1.2k 1.4× 940 1.4× 173 0.8× 413 2.1× 23 3.0k
Krithika N. Kodumudi United States 22 1.2k 1.3× 1.1k 1.3× 658 1.0× 413 1.9× 210 1.1× 49 2.3k
Fanyan Meng China 21 553 0.6× 832 1.0× 949 1.4× 254 1.1× 277 1.4× 60 1.8k
Fernando Aranda Spain 28 1.5k 1.6× 1.3k 1.6× 644 1.0× 149 0.7× 151 0.8× 76 2.5k
Tony Avril France 30 1.0k 1.1× 563 0.6× 1.4k 2.0× 297 1.3× 115 0.6× 48 2.8k
Tae Woo Kim South Korea 30 807 0.9× 710 0.8× 1.2k 1.8× 289 1.3× 256 1.3× 65 2.3k
Edwin Bremer Netherlands 34 1.6k 1.7× 935 1.1× 1.5k 2.2× 300 1.4× 158 0.8× 89 3.1k

Countries citing papers authored by Beth A. Pulaski

Since Specialization
Citations

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

Fields of papers citing papers by Beth A. Pulaski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth A. Pulaski. 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 Beth A. Pulaski. The network helps show where Beth A. Pulaski may publish in the future.

Co-authorship network of co-authors of Beth A. Pulaski

This figure shows the co-authorship network connecting the top 25 collaborators of Beth A. Pulaski. A scholar is included among the top collaborators of Beth A. Pulaski 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 Beth A. Pulaski. Beth A. Pulaski 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.
Sinha, Pratima, et al.. (2004). Surgical Removal of Primary Tumor Reverses Tumor-Induced Immunosuppression Despite the Presence of Metastatic Disease. Cancer Research. 64(6). 2205–2211. 270 indexed citations
2.
Pulaski, Beth A., Mark J. Smyth, & Suzanne Ostrand‐Rosenberg. (2002). Interferon-gamma-dependent phagocytic cells are a critical component of innate immunity against metastatic mammary carcinoma.. PubMed. 62(15). 4406–12. 51 indexed citations
3.
Pulaski, Beth A., Virginia K. Clements, Matthew R. Pipeling, & Suzanne Ostrand‐Rosenberg. (2000). Immunotherapy with vaccines combining MHC class II/CD80+ tumor cells with interleukin-12 reduces established metastatic disease and stimulates immune effectors and monokine induced by interferon γ. Cancer Immunology Immunotherapy. 49(1). 34–45. 56 indexed citations
4.
Pulaski, Beth A., et al.. (2000). Cooperativity of Staphylococcal aureus enterotoxin B superantigen, major histocompatibility complex class II, and CD80 for immunotherapy of advanced spontaneous metastases in a clinically relevant postoperative mouse breast cancer model.. PubMed. 60(10). 2710–5. 119 indexed citations
5.
Pulaski, Beth A. & Suzanne Ostrand‐Rosenberg. (2000). Mouse 4T1 Breast Tumor Model. Current Protocols in Immunology. 39(1). Unit 20.2–Unit 20.2. 744 indexed citations breakdown →
6.
Ostrand‐Rosenberg, Suzanne, et al.. (1999). Cell‐based vaccines for the stimulation of immunity to metastatic cancers. Immunological Reviews. 170(1). 101–114. 44 indexed citations
7.
Ostrand‐Rosenberg, Suzanne, Beth A. Pulaski, Todd D. Armstrong, & Virginia K. Clements. (1998). Immunotherapy of Established Tumor with MHC Class II and B7.1 Cell-Based Tumor Vaccines. Advances in experimental medicine and biology. 451. 259–264. 9 indexed citations
9.
Armstrong, Todd D., et al.. (1998). Tumor antigen presentation: changing the rules. Cancer Immunology Immunotherapy. 46(2). 70–74. 38 indexed citations
10.
Pulaski, Beth A., et al.. (1998). Reduction of established spontaneous mammary carcinoma metastases following immunotherapy with major histocompatibility complex class II and B7.1 cell-based tumor vaccines.. PubMed. 58(7). 1486–93. 335 indexed citations
11.
Pulaski, Beth A., Kun‐Yun Yeh, Nilabh Shastri, et al.. (1996). Interleukin 3 enhances cytotoxic T lymphocyte development and class I major histocompatibility complex "re-presentation" of exogenous antigen by tumor-infiltrating antigen-presenting cells.. Proceedings of the National Academy of Sciences. 93(8). 3669–3674. 53 indexed citations
12.
Pulaski, Beth A., Melody L. Woods, Alexander J. McAdam, et al.. (1995). B7-1 Enhances Natural Killer Cell-Mediated Cytotoxicity and Inhibits Tumor Growth of a Poorly Immunogenic Murine Carcinoma. Cellular Immunology. 165(2). 217–224. 43 indexed citations
13.
McAdam, Alexander J., et al.. (1995). Synergistic effects of co‐expression of the Th1 cytokines il‐2 and IFNγ on generation of murine tumor‐reactive cytotoxic cells. International Journal of Cancer. 61(5). 628–634. 24 indexed citations
15.
16.
McAdam, Alexander J., Kun‐Yun Yeh, Beth A. Pulaski, John G. Frelinger, & Edith M. Lord. (1993). Interleukin-3 Inhibits the Generation of Nonspecific Killers by Interleukin-2. Journal of Immunotherapy. 14(4). 293–297. 1 indexed citations
17.
McAdam, Alexander J., et al.. (1993). Coexpression of IL‐2 and γ‐IFN Enhances Tumor Immunitya. Annals of the New York Academy of Sciences. 690(1). 349–351. 5 indexed citations
18.
Lord, Edith M., et al.. (1993). Transfection of TGF‐β Producing Tumors with IL‐2 Elicits Tumor Rejectiona. Annals of the New York Academy of Sciences. 690(1). 346–348. 1 indexed citations
19.
Pulaski, Beth A., et al.. (1993). Interleukin 3 enhances development of tumor-reactive cytotoxic cells by a CD4-dependent mechanism.. PubMed. 53(9). 2112–7. 43 indexed citations
20.
Moritz, Michelle, Beth A. Pulaski, & John L. Woolford. (1991). Assembly of 60S Ribosomal Subunits Is Perturbed in Temperature-Sensitive Yeast Mutants Defective in Ribosomal Protein L16. Molecular and Cellular Biology. 11(11). 5681–5692. 70 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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