Michael L. Salgaller

4.8k total citations
53 papers, 4.0k citations indexed

About

Michael L. Salgaller is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Michael L. Salgaller has authored 53 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Immunology, 21 papers in Molecular Biology and 20 papers in Oncology. Recurrent topics in Michael L. Salgaller's work include Immunotherapy and Immune Responses (40 papers), T-cell and B-cell Immunology (15 papers) and Immune Cell Function and Interaction (14 papers). Michael L. Salgaller is often cited by papers focused on Immunotherapy and Immune Responses (40 papers), T-cell and B-cell Immunology (15 papers) and Immune Cell Function and Interaction (14 papers). Michael L. Salgaller collaborates with scholars based in United States, Malaysia and Italy. Michael L. Salgaller's co-authors include Steven A. Rosenberg, S A Rosenberg, Licia Rivoltini, Francesco M. Marincola, Alessandro Sette, Yutaka Kawakami, Scott Southwood, Patricia A. Lodge, Alton L. Boynton and Janice N. Cormier and has published in prestigious journals such as The Journal of Immunology, Cancer and Biochemical and Biophysical Research Communications.

In The Last Decade

Michael L. Salgaller

51 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael L. Salgaller United States 28 3.0k 1.9k 1.6k 384 335 53 4.0k
Roberta Mortarini Italy 40 2.9k 1.0× 2.1k 1.1× 2.0k 1.2× 341 0.9× 316 0.9× 100 4.9k
Francis Brasseur Belgium 29 2.8k 0.9× 1.9k 1.0× 1.3k 0.8× 242 0.6× 278 0.8× 46 3.6k
Lea Eisenbach Israel 33 2.5k 0.8× 2.1k 1.1× 1.5k 0.9× 427 1.1× 570 1.7× 123 4.4k
Rudolf Schmits Germany 25 2.7k 0.9× 1.4k 0.7× 1.1k 0.7× 515 1.3× 270 0.8× 52 4.5k
Nicole M. Haynes Australia 31 2.6k 0.9× 1.1k 0.6× 2.3k 1.4× 263 0.7× 518 1.5× 58 4.2k
Thomas Wölfel Germany 32 5.1k 1.7× 2.8k 1.4× 2.8k 1.7× 612 1.6× 438 1.3× 70 6.4k
Jacquelyn A. Hank United States 37 2.5k 0.8× 1.3k 0.7× 2.1k 1.3× 740 1.9× 391 1.2× 125 4.3k
Kwong-Yok Tsang United States 25 2.5k 0.8× 946 0.5× 1.8k 1.1× 370 1.0× 432 1.3× 45 3.3k
S Eliyahu United States 9 2.6k 0.9× 1.6k 0.8× 1.8k 1.1× 322 0.8× 399 1.2× 10 3.6k
Amitabha Mazumder United States 29 1.7k 0.6× 1.6k 0.8× 1.6k 1.0× 354 0.9× 169 0.5× 110 3.9k

Countries citing papers authored by Michael L. Salgaller

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Salgaller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael L. Salgaller. 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 Michael L. Salgaller. The network helps show where Michael L. Salgaller may publish in the future.

Co-authorship network of co-authors of Michael L. Salgaller

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Salgaller. A scholar is included among the top collaborators of Michael L. Salgaller 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 Michael L. Salgaller. Michael L. Salgaller 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.
Salgaller, Michael L.. (2010). Biotechnology entrepreneurship : from science to solutions.
2.
Zhou, Yaling, Marnix L. Bosch, & Michael L. Salgaller. (2002). Current Methods for Loading Dendritic Cells With Tumor Antigen for the Induction of Antitumor Immunity. Journal of Immunotherapy. 25(4). 289–303. 83 indexed citations
3.
Zhou, Yaling, et al.. (2002). Serological Cloning of PARIS-1: A New TBC Domain-Containing, Immunogenic Tumor Antigen from a Prostate Cancer Cell Line. Biochemical and Biophysical Research Communications. 290(2). 830–838. 29 indexed citations
4.
Salgaller, Michael L.. (2000). American Association for Cancer Research. Expert Opinion on Investigational Drugs. 9(6). 1413–1417. 376 indexed citations
5.
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7.
Tjoa, B.A., S.J. Simmons, Victoria Bowes, et al.. (1998). Evaluation of phase I/II clinical trials in prostate cancer with dendritic cells and PSMA peptides. The Prostate. 36(1). 39–44. 207 indexed citations
8.
Salgaller, Michael L., Patricia A. Lodge, Douglas J. Loftus, et al.. (1998). Report of immune monitoring of prostate cancer patients undergoing T-cell therapy using dendritic cells pulsed with HLA-A2-specific peptides from prostate-specific membrane antigen (PSMA). The Prostate. 35(2). 144–151. 95 indexed citations
9.
Ksander, Bruce R., et al.. (1998). Uveal melanomas contain antigenically specific and non-specific infiltrating lymphocytes. Current Eye Research. 17(2). 165–173. 29 indexed citations
10.
Salgaller, Michael L. & Patricia A. Lodge. (1998). Use of cellular and cytokine adjuvants in the immunotherapy of cancer. Journal of Surgical Oncology. 68(2). 122–138. 57 indexed citations
11.
Salgaller, Michael L.. (1997). Monitoring of Cancer Patients Undergoing Active or Passive Immunotherapy. Journal of Immunotherapy. 20(1). 1–14. 16 indexed citations
12.
Ishida, Hiroyuki, et al.. (1996). MAGE-1 andMAGE-3 or-6 expression in neuroblastoma-related pediatric solid tumors. International Journal of Cancer. 69(5). 375–380. 27 indexed citations
13.
Marincola, Francesco M., Yasmine M. Hijazi, Patricia Fetsch, et al.. (1996). Analysis of Expression of the Melanoma-Associated Antigens MART-1 and gp lOO in Metastatic Melanoma Cell Lines and in In Situ Lesions. Journal of Immunotherapy. 19(3). 192–205. 113 indexed citations
14.
Marincola, F.M., Licia Rivoltini, Michael L. Salgaller, Michael J. Player, & S A Rosenberg. (1996). Differential Anti-MART-1/MelanA CTL Activity in Peripheral Blood of HLA-A2 Melanoma Patients in Comparison to Healthy Donors. Journal of Immunotherapy. 19(4). 266–277. 102 indexed citations
15.
16.
Marincola, Francesco M., Peter Shamamian, Licia Rivoltini, et al.. (1995). HLA Associations in the Antitumor Response Against Malignant Melanoma. Journal of Immunotherapy. 18(4). 242–252. 41 indexed citations
17.
Salgaller, Michael L., Jeffrey S. Weber, Scott Koenig, John R. Yannelli, & Steven A. Rosenberg. (1994). Generation of specific anti-melanoma reactivity by stimulation of human tumor-infiltrating lymphocytes with MAGE-1 synthetic peptide. Cancer Immunology Immunotherapy. 39(2). 105–116. 53 indexed citations
18.
Hand, Patricia Horan, Paul F. Robbins, Michael L. Salgaller, Diane J. Poole, & Jeffrey Schlom. (1993). Evaluation of human carcinoembryonic-antigen (CEA)-transduced and non-transduced murine tumors as potential targets for anti-CEA therapies. Cancer Immunology Immunotherapy. 36(2). 65–75. 27 indexed citations
19.
Salgaller, Michael L., Dennis K. Pearl, & R. E. Stephens. (1991). In situ hybridization with single-stranded RNA probes to demonstrate infrequently elevated gli mRNA and no increased ras mRNA levels in meningiomas and astrocytomas. Cancer Letters. 57(3). 243–253. 20 indexed citations
20.
Salgaller, Michael L., et al.. (1990). Application of automated image analysis to demonstrate the correlation between ras p21 expression and severity of gliomas. Biochemical and Biophysical Research Communications. 169(2). 482–491. 15 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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