Gayla Geering

1.8k total citations
18 papers, 1.4k citations indexed

About

Gayla Geering is a scholar working on Genetics, Immunology and Epidemiology. According to data from OpenAlex, Gayla Geering has authored 18 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Immunology and 7 papers in Epidemiology. Recurrent topics in Gayla Geering's work include Virus-based gene therapy research (10 papers), T-cell and Retrovirus Studies (4 papers) and Viral-associated cancers and disorders (4 papers). Gayla Geering is often cited by papers focused on Virus-based gene therapy research (10 papers), T-cell and Retrovirus Studies (4 papers) and Viral-associated cancers and disorders (4 papers). Gayla Geering collaborates with scholars based in United States, Kenya and Sweden. Gayla Geering's co-authors include Lloyd J. Old, Edward A. Boyse, Étienne de Harven, Herbert F. Oettgen, Peter Clifford, William D. Hardy, Robert C. Nowinski, Barbara Williamson, Tadao Aoki and J. Hilgers and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Gayla Geering

17 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gayla Geering United States 14 586 499 494 363 329 18 1.4k
L. Dmochowski United States 23 433 0.7× 572 1.1× 399 0.8× 358 1.0× 222 0.7× 169 1.6k
M Lieberman United States 20 427 0.7× 629 1.3× 1.3k 2.7× 314 0.9× 307 0.9× 42 2.5k
Y A Teramoto United States 20 553 0.9× 459 0.9× 549 1.1× 165 0.5× 163 0.5× 41 1.6k
Marilyn R. Lander United States 15 190 0.3× 668 1.3× 521 1.1× 210 0.6× 192 0.6× 18 1.4k
Bernice E. Eddy United States 17 682 1.2× 553 1.1× 160 0.3× 182 0.5× 183 0.6× 36 1.4k
E Fleissner United States 18 157 0.3× 471 0.9× 405 0.8× 233 0.6× 236 0.7× 33 1.4k
Christie A. Holland United States 22 206 0.4× 446 0.9× 604 1.2× 287 0.8× 200 0.6× 41 1.6k
Carel Mulder United States 25 1.1k 1.9× 846 1.7× 370 0.7× 782 2.2× 517 1.6× 42 2.6k
C A Heilman United States 16 355 0.6× 247 0.5× 246 0.5× 529 1.5× 183 0.6× 24 1.3k
David Smotkin United States 17 398 0.7× 768 1.5× 351 0.7× 1.0k 2.8× 114 0.3× 26 1.9k

Countries citing papers authored by Gayla Geering

Since Specialization
Citations

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

Fields of papers citing papers by Gayla Geering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gayla Geering

This figure shows the co-authorship network connecting the top 25 collaborators of Gayla Geering. A scholar is included among the top collaborators of Gayla Geering 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 Gayla Geering. Gayla Geering is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Hardy, W. D., et al.. (2015). Serological Studies of the Feline Leukemia Virus1. Proceedings of the International Symposium on Comparative Leukemia Research. 343–354.
2.
Endris, R. G., et al.. (1987). A Hemolymph Test for the Detection of African Swine Fever Virus in Ornithodoros Coriaceus (Acari: Argasidae). Journal of Medical Entomology. 24(2). 192–197. 5 indexed citations
3.
Geering, Gayla, et al.. (1986). Identification of African Swine Fever Viral Antigens in the Hemolymph of Soft Ticks (Argasidae: Ornithodoros) by the Immunodot Blot Test. American Journal of Tropical Medicine and Hygiene. 35(5). 1027–1034. 2 indexed citations
4.
Bloom, Eda T., et al.. (1973). Anti‐tumor activity in human serum: Antibodies detecting blood‐group‐A‐like antigen on the surface of tumor cells in culture. International Journal of Cancer. 12(1). 21–31. 21 indexed citations
5.
Hilgers, J., Robert C. Nowinski, Gayla Geering, & William D. Hardy. (1972). Detection of avian and mammalian oncogenic RNA viruses (oncornaviruses) by immunofluorescence.. PubMed. 32(1). 98–106. 130 indexed citations
6.
Klein, George, Gayla Geering, Lloyd J. Old, et al.. (1970). Comparison of the anti‐ebv titer and the ebv‐associated membrane reactive and precipitating antibody levels in the sera of burkitt lymphoma and nasopharyngeal carcinoma patients and controls. International Journal of Cancer. 5(2). 185–194. 38 indexed citations
7.
Geering, Gayla, Tadao Aoki, & Lloyd J. Old. (1970). Shared Viral Antigen of Mammalian Leukaemia Viruses. Nature. 226(5242). 265–266. 130 indexed citations
8.
Klein, George, Peter Clifford, G Henle, et al.. (1969). EBV‐Associated serological patterns in a burkitt lymphoma patient during regression and recurrence. International Journal of Cancer. 4(4). 416–421. 59 indexed citations
9.
Hardy, William D., et al.. (1969). Feline Leukemia Virus: Occurrence of Viral Antigen in the Tissues of Cats with Lymphosarcoma and Other Diseases. Science. 166(3908). 1019–1021. 80 indexed citations
10.
Came, Paul E., Gayla Geering, Lloyd J. Old, & Edward A. Boyse. (1968). A serological study of polyhedral cytoplasmic viruses isolated from amphibia. Virology. 36(3). 392–400. 4 indexed citations
11.
Nowinski, Robert C., Lloyd J. Old, Edward A. Boyse, Étienne de Harven, & Gayla Geering. (1968). Group-specific viral antigens in the milk and tissues of mice naturally infected with mammary tumor virus or Gross leukemia virus. Virology. 34(4). 617–629. 67 indexed citations
12.
Geering, Gayla, William D. Hardy, Lloyd J. Old, Étienne de Harven, & Robert S. Brodey. (1968). Shared group-specific antigen of murine and feline leukemia viruses. Virology. 36(4). 678–680. 78 indexed citations
13.
Old, Lloyd J., Edward A. Boyse, Gayla Geering, & Herbert F. Oettgen. (1968). Serologic approaches to the study of cancer in animals and in man.. PubMed. 28(7). 1288–99. 85 indexed citations
14.
Hf, Oettgen, Tadao Aoki, Gayla Geering, Boyse Ea, & Old Lj. (1967). Definition of an antigenic system associated with Burkitt's lymphoma.. PubMed. 27(12). 2532–4. 15 indexed citations
15.
Nowinski, Robert C., Lloyd J. Old, Dan H. Moore, Gayla Geering, & Edward A. Boyse. (1967). A soluble antigen of the mammary tumor virus. Virology. 31(1). 1–14. 65 indexed citations
16.
Old, Lloyd J., Elisabeth Stockert, Edward A. Boyse, & Gayla Geering. (1967). A Study of Passive Immunization Against a Transplanted G+ Leukemia with Specific Antiserum.. Experimental Biology and Medicine. 124(1). 63–68. 44 indexed citations
17.
Geering, Gayla, Lloyd J. Old, & Edward A. Boyse. (1966). ANTIGENS OF LEUKEMIAS INDUCED BY NATURALLY OCCURRING MURINE LEUKEMIA VIRUS: THEIR RELATION TO THE ANTIGENS OF GROSS VIRUS AND OTHER MURINE LEUKEMIA VIRUSES. The Journal of Experimental Medicine. 124(4). 753–772. 253 indexed citations
18.
Old, Lloyd J., Edward A. Boyse, Herbert F. Oettgen, et al.. (1966). PRECIPITATING ANTIBODY IN HUMAN SERUM TO AN ANTIGEN PRESENT IN CULTURED BURKITT'S LYMPHOMA CELLS. Proceedings of the National Academy of Sciences. 56(6). 1699–1704. 357 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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