Sue S. Cross

847 total citations
31 papers, 618 citations indexed

About

Sue S. Cross is a scholar working on Genetics, Immunology and Epidemiology. According to data from OpenAlex, Sue S. Cross has authored 31 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 12 papers in Immunology and 10 papers in Epidemiology. Recurrent topics in Sue S. Cross's work include Virus-based gene therapy research (8 papers), Immunodeficiency and Autoimmune Disorders (6 papers) and Marine Sponges and Natural Products (4 papers). Sue S. Cross is often cited by papers focused on Virus-based gene therapy research (8 papers), Immunodeficiency and Autoimmune Disorders (6 papers) and Marine Sponges and Natural Products (4 papers). Sue S. Cross collaborates with scholars based in United States, Israel and United Kingdom. Sue S. Cross's co-authors include Amy E. Wright, Wallace P. Rowe, John C. Parker, Frank E. Koehn, Shirley A. Pomponi, Peter J. McCarthy, Herbert C. Morse, Philip W. Stashak, Benjamin Prescott and Phillip J. Baker and has published in prestigious journals such as The Journal of Immunology, JNCI Journal of the National Cancer Institute and The Journal of Infectious Diseases.

In The Last Decade

Sue S. Cross

27 papers receiving 565 citations

Peers

Sue S. Cross
Comparison fields: 5 of 73
  • Biotechnology 164
  • Organic Chemistry 141
  • Immunology 122
  • Molecular Biology 116
  • Epidemiology 106
Replace Harold E. Renis with:
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Juliana L. Abrantes Brazil
Hiroomi Watabe Japan
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Katsushi Yokota Japan
Kosaburo Sato Japan
R.D. Eichner Australia
Harold E. Renis United States View profile →
Citations per field, relative to Sue S. Cross
Sue S. Cross · 1×
Citations per year, relative to Sue S. Cross
Sue S. Cross · 1×

Countries citing papers authored by Sue S. Cross

Since Specialization
Citations

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

Fields of papers citing papers by Sue S. Cross

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sue S. Cross. 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 Sue S. Cross. The network helps show where Sue S. Cross may publish in the future.

Co-authorship network of co-authors of Sue S. Cross

This figure shows the co-authorship network connecting the top 25 collaborators of Sue S. Cross. A scholar is included among the top collaborators of Sue S. Cross 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 Sue S. Cross. Sue S. Cross 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
# Work Indexed citations
1 0
2 40
3 9
4 39
5 30
6 0
7 35
8 36
9 6
10 6
11 18
12 10
13
Regulation of the antibody response to type III pneumococcal polysaccharide. V. Ontogeny of factors influencing the magnitude of the plaque-forming cell response.
49
14
Neonatal infection with mouse thymic virus. Differential effects on T cells mediating the graft-versus-host reaction.
13
15 8
16 28
17 9
18 6
19 8
20 20

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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