J. Wasserman

2.0k total citations
78 papers, 1.5k citations indexed

About

J. Wasserman is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, J. Wasserman has authored 78 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 22 papers in Oncology and 11 papers in Molecular Biology. Recurrent topics in J. Wasserman's work include Cancer Immunotherapy and Biomarkers (15 papers), Immunotherapy and Immune Responses (7 papers) and Toxin Mechanisms and Immunotoxins (6 papers). J. Wasserman is often cited by papers focused on Cancer Immunotherapy and Biomarkers (15 papers), Immunotherapy and Immune Responses (7 papers) and Toxin Mechanisms and Immunotoxins (6 papers). J. Wasserman collaborates with scholars based in Sweden, Ukraine and Israel. J. Wasserman's co-authors include Marcus Sokolowski, Henric Blomgren, Danuta Wasserman, B Petrini, Ulla Glas, Vsevolod Rozanov, D. Wasserman, Edward Baral, Peter Perlmann and L V von Stedingk and has published in prestigious journals such as Cancer, Infection and Immunity and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

J. Wasserman

75 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Wasserman Sweden 22 351 298 255 207 183 78 1.5k
Jerzy Wasserman Sweden 18 253 0.7× 227 0.8× 119 0.5× 117 0.6× 93 0.5× 66 1.2k
Robert Rosenthal United States 18 273 0.8× 185 0.6× 72 0.3× 259 1.3× 367 2.0× 44 1.9k
Donna O. McCarthy United States 31 258 0.7× 273 0.9× 106 0.4× 477 2.3× 294 1.6× 77 2.4k
Rafael Valenzuela United States 23 154 0.4× 139 0.5× 126 0.5× 231 1.1× 105 0.6× 109 1.7k
Christoph Baerwald Germany 27 546 1.6× 174 0.6× 46 0.2× 527 2.5× 215 1.2× 134 2.3k
David W. Niebuhr United States 23 402 1.1× 334 1.1× 194 0.8× 361 1.7× 30 0.2× 75 2.6k
Deborah Robertson United Kingdom 22 812 2.3× 49 0.2× 169 0.7× 152 0.7× 127 0.7× 70 2.4k
Judith L. Luborsky United States 25 457 1.3× 189 0.6× 63 0.2× 396 1.9× 87 0.5× 53 2.6k
James Marriott Canada 22 204 0.6× 243 0.8× 145 0.6× 167 0.8× 33 0.2× 62 2.3k
Trygve Holmøy Norway 36 1.2k 3.5× 470 1.6× 80 0.3× 515 2.5× 67 0.4× 170 3.8k

Countries citing papers authored by J. Wasserman

Since Specialization
Citations

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

Fields of papers citing papers by J. Wasserman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Wasserman

This figure shows the co-authorship network connecting the top 25 collaborators of J. Wasserman. A scholar is included among the top collaborators of J. Wasserman 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 J. Wasserman. J. Wasserman 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.
Sokolowski, Marcus, J. Wasserman, & Danuta Wasserman. (2015). Polygenic associations of neurodevelopmental genes in suicide attempt. Molecular Psychiatry. 21(10). 1381–1390. 82 indexed citations
2.
Sokolowski, Marcus, J. Wasserman, & Danuta Wasserman. (2014). An overview of the neurobiology of suicidal behaviors as one meta-system. Molecular Psychiatry. 20(1). 56–71. 29 indexed citations
3.
4.
Wasserman, D., et al.. (2012). Family-based study of HTR2A in suicide attempts: observed gene, gene × environment and parent-of-origin associations. Molecular Psychiatry. 18(7). 758–766. 35 indexed citations
5.
Wasserman, Danuta, et al.. (2011). Gene-environment interactions between CRHR1 variants and physical assault in suicide attempts. Genes Brain & Behavior. 10(6). 663–672. 50 indexed citations
6.
7.
Wasserman, D., Lars Terenius, J. Wasserman, & Marcus Sokolowski. (2009). The 2009 Nobel conference on the role of genetics in promoting suicide prevention and the mental health of the population. Molecular Psychiatry. 15(1). 12–17. 18 indexed citations
8.
Wasserman, Danuta, Marcus Sokolowski, Vsevolod Rozanov, & J. Wasserman. (2007). The CRHR1 gene: a marker for suicidality in depressed males exposed to low stress. Genes Brain & Behavior. 7(1). 14–19. 82 indexed citations
9.
Wasserman, Danuta, T. Geijer, Marcus Sokolowski, Vsevolod Rozanov, & J. Wasserman. (2006). Genetic variation in the hypothalamic–pituitary–adrenocortical axis regulatory factor, T‐box 19, and the angry/hostility personality trait. Genes Brain & Behavior. 6(4). 321–328. 17 indexed citations
10.
Wasserman, Danuta, T. Geijer, Marcus Sokolowski, et al.. (2006). Association of the serotonin transporter promotor polymorphism with suicide attempters with a high medical damage. European Neuropsychopharmacology. 17(3). 230–233. 34 indexed citations
11.
Miners, A, Rhonda L. Bohn, Keith Hoots, et al.. (1999). Economic aspects of haemophilia care. Haemophilia. 5(3). 216–219. 14 indexed citations
12.
Lidbrink, Elisabet, L Levi, Ingvar Rosendahl, et al.. (1995). Single-view screening mammography: psychological, endocrine and immunological effects of recalling for a complete three-view examination. European Journal of Cancer. 31(6). 932–933. 13 indexed citations
13.
Dgani, R., et al.. (1992). Pneumothorax following induction chemotherapy in patients with lung metastases: A case report and literature review. Annals of Oncology. 3(4). 297–300. 24 indexed citations
14.
Wasserman, J., Sven Hammarström, B Petrini, et al.. (1987). Effects of Some Prostaglandins and Leukotrienes on Lymphocytes, Monocytes and Their Activity in vitro. International Archives of Allergy and Immunology. 83(1). 39–43. 13 indexed citations
15.
Rotstein, S, Henric Blomgren, Edward Baral, et al.. (1987). Incidence of Infectious Symptoms after Radiation Therapy for Breast Cancer: Long-term effects. Acta Oncologica. 26(3). 197–201. 10 indexed citations
16.
Torssander, J, J. Wasserman, L Morfeldt-Månsson, B Petrini, & L V von Stedingk. (1985). Persistent generalized lymphadenopathy: immunological and mycological investigations. Acta Dermato Venereologica. 65(6). 515–520. 7 indexed citations
17.
Petrini, B, et al.. (1983). T lymphocyte subpopulations in alopecia areata and psoriasis: identification with monoclonal antibodies and Fc receptors. Acta Dermato Venereologica. 63(3). 244–246. 5 indexed citations
18.
Wasserman, J., et al.. (1975). Effect of radiotherapy on lymphocyte cytotoxicity in vitro.. PubMed. 22(2). 230–9. 11 indexed citations
19.
Bennich, H., N.R. Bergquist, Anders Bergstrand, et al.. (1974). FAILURE TO DEMONSTRATE IMMUNOGLOBULIN E IN GLOMERULI OF PATIENTS WITH VARIOUS NEPHROPATHIES. Acta Pathologica Microbiologica Scandinavica Section B Microbiology and Immunology. 82B(2). 245–248. 4 indexed citations
20.
Wasserman, J., et al.. (1969). Cytotoxic Lymphoid Cells and Antibodies from Guinea Pigs Immunized with Tubercle Bacilli. International Archives of Allergy and Immunology. 36(1-2). 115–116. 11 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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