Helen M. Hallgren

1.3k total citations
25 papers, 1.1k citations indexed

About

Helen M. Hallgren is a scholar working on Immunology, Genetics and Physiology. According to data from OpenAlex, Helen M. Hallgren has authored 25 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 5 papers in Genetics and 4 papers in Physiology. Recurrent topics in Helen M. Hallgren's work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (13 papers) and Diabetes and associated disorders (4 papers). Helen M. Hallgren is often cited by papers focused on Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (13 papers) and Diabetes and associated disorders (4 papers). Helen M. Hallgren collaborates with scholars based in United States. Helen M. Hallgren's co-authors include Edmond J. Yunis, Juan J. Yunis, C.E. Buckley, John H. Kersey, James J. O’Leary, Duaine R. Jackola, Kazimiera J. Gajl‐Peczalska, Mark E. Nesbit, Devendra P. Dubey and David R.P. Guay and has published in prestigious journals such as Science, The Lancet and The Journal of Immunology.

In The Last Decade

Helen M. Hallgren

24 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helen M. Hallgren United States 14 554 182 151 127 114 25 1.1k
B Nabarra France 19 387 0.7× 317 1.7× 99 0.7× 65 0.5× 59 0.5× 63 1.4k
P O'Looney United States 6 313 0.6× 130 0.7× 95 0.6× 82 0.6× 98 0.9× 7 823
K Mehindate Canada 18 367 0.7× 440 2.4× 99 0.7× 43 0.3× 72 0.6× 20 1.0k
Robert M. Strieter United States 9 524 0.9× 181 1.0× 95 0.6× 48 0.4× 110 1.0× 10 1.0k
Gabriella Misiano Italy 14 252 0.5× 176 1.0× 133 0.9× 43 0.3× 156 1.4× 31 766
Gary Birnbaum United States 22 337 0.6× 236 1.3× 74 0.5× 47 0.4× 127 1.1× 59 1.2k
Fumihiko Hato Japan 19 576 1.0× 454 2.5× 85 0.6× 38 0.3× 198 1.7× 56 1.3k
Jean Tkaczuk France 18 264 0.5× 170 0.9× 175 1.2× 59 0.5× 205 1.8× 48 941
Haruyasu Ueda Japan 21 474 0.9× 484 2.7× 146 1.0× 65 0.5× 117 1.0× 40 1.1k
Robert M. Strieter United States 15 460 0.8× 206 1.1× 65 0.4× 31 0.2× 152 1.3× 17 1.1k

Countries citing papers authored by Helen M. Hallgren

Since Specialization
Citations

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

Fields of papers citing papers by Helen M. Hallgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen M. Hallgren. 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 Helen M. Hallgren. The network helps show where Helen M. Hallgren may publish in the future.

Co-authorship network of co-authors of Helen M. Hallgren

This figure shows the co-authorship network connecting the top 25 collaborators of Helen M. Hallgren. A scholar is included among the top collaborators of Helen M. Hallgren 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 Helen M. Hallgren. Helen M. Hallgren 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.
Jackola, Duaine R. & Helen M. Hallgren. (1998). Dynamic phenotypic restructuring of the CD4 and CD8 T-cell subsets with age in healthy humans: a compartmental model analysis. Mechanisms of Ageing and Development. 105(3). 241–264. 12 indexed citations
2.
Guay, David R.P., et al.. (1997). The Effect of DHEAS on Influenza Vaccination in Aging Adults. Journal of the American Geriatrics Society. 45(6). 747–751. 46 indexed citations
3.
Jackola, Duaine R. & Helen M. Hallgren. (1995). Diminished Cell-Cell Binding by Lymphocytes from Healthy, Elderly Humans: Evidence for Altered Activation of LFA-1 Function With Age. The Journals of Gerontology Series A. 50A(6). B368–B377. 14 indexed citations
4.
O’Leary, James J. & Helen M. Hallgren. (1991). Aging and lymphocyte function: a model for testing gerontologic hypotheses of aging in man. Archives of Gerontology and Geriatrics. 12(2-3). 199–218. 12 indexed citations
5.
Hallgren, Helen M., et al.. (1990). Effects of preliminary culture on the membrane microviscosity of lymphocytes from young and old donors. Microviscosity correlates with mitogenic response. Archives of Gerontology and Geriatrics. 10(1). 77–87. 9 indexed citations
6.
Faassen, Anne E., et al.. (1989). Diminished heat-shock protein synthesis following mitogen stimulation of lymphocytes from aged donors. Experimental Cell Research. 183(2). 326–334. 53 indexed citations
7.
8.
Hallgren, Helen M., et al.. (1988). Expression of the human T cell antigen receptor complex in advanced age. Mechanisms of Ageing and Development. 45(3). 239–252. 22 indexed citations
9.
Hallgren, Helen M., et al.. (1986). Do immature T cells accumulate in advanced age?. Mechanisms of Ageing and Development. 33(3). 237–245. 9 indexed citations
10.
O’Leary, James J., Duaine R. Jackola, Charu Mehta, & Helen M. Hallgren. (1985). Enhancement of mitogen response and surface marker analysis of lymphocytes from yuong and old donors after preliminary incubation in vitro. Mechanisms of Ageing and Development. 29(3). 239–253. 15 indexed citations
11.
Hallgren, Helen M., Duaine R. Jackola, & James J. O’Leary. (1985). Evidence for expansion of a population of lymphocytes with reduced or absent T3 expression in aged human donors. Mechanisms of Ageing and Development. 30(3). 239–250. 8 indexed citations
12.
Hallgren, Helen M., Duaine R. Jackola, & James J. O’Leary. (1983). Unusual pattern of surface marker expression on peripheral lymphocytes from aged humans suggestive of a population of less differentiated cells.. The Journal of Immunology. 131(1). 191–194. 48 indexed citations
13.
14.
Hallgren, Helen M., John H. Kersey, Devendra P. Dubey, & Edmond J. Yunis. (1978). Lymphocyte subsets and integrated immune function in aging humans. Clinical Immunology and Immunopathology. 10(1). 65–78. 78 indexed citations
15.
Hallgren, Helen M. & Edmond J. Yunis. (1977). Suppressor Lymphocytes in Young and Aged Humans. The Journal of Immunology. 118(6). 2004–2008. 141 indexed citations
16.
Kersey, John, Peter F. Coccia, M. Nesbit, et al.. (1977). Surface Markers Define Human Lymphoid Malignancies with Differing Prognoses. Hämatologie und Bluttransfusion. 20. 17–24. 18 indexed citations
17.
Kersey, John, et al.. (1975). Evidence for origin of certain childhood acute lymphoblastic leukemias and lymphomas in thymus-derived lymphocytes. Cancer. 36(4). 1348–1352. 59 indexed citations
18.
Kersey, JH, M. Nesbit, John R. Luckasen, et al.. (1974). Acute lymphoblastic leukemic and lymphoma cells with thymus-derived (T) markers.. PubMed. 49(8). 584–7. 12 indexed citations
19.
Purtilo, David T., et al.. (1973). Alpha-Fetoprotein: Diagnostic and Prognostic Use in Patients with Hepatomas. American Journal of Clinical Pathology. 59(3). 295–299. 10 indexed citations
20.
Hallgren, Helen M., et al.. (1973). Lymphocyte Phytohemagglutinin Responsiveness, Immunoglobulins and Autoantibodies in Aging Humans. The Journal of Immunology. 111(4). 1101–1107. 244 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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