Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Antimetastatic effects associated with platelet reduction.
1968558 citationsG Gasic, Tatiana B. Gasic et al.Proceedings of the National Academy of Sciencesprofile →
Platelet—tumor‐cell interactions in mice. The role of platelets in the spread of malignant disease
1973357 citationsG Gasic, Tatiana B. Gasic et al.International Journal of Cancerprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of G Gasic'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 G Gasic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Gasic more than expected).
This network shows the impact of papers produced by G Gasic. 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 G Gasic. The network helps show where G Gasic may publish in the future.
Co-authorship network of co-authors of G Gasic
This figure shows the co-authorship network connecting the top 25 collaborators of G Gasic.
A scholar is included among the top collaborators of G Gasic 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 G Gasic. G Gasic is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gasic, G, et al.. (1983). Inhibition of lung tumor colonization by leech salivary gland extracts from Haementeria ghilianii.. PubMed. 43(4). 1633–5.29 indexed citations
7.
Pearlstein, Edward, Cynthia Ambrogio, G Gasic, & Simon Karpatkin. (1982). Inhibition of the platelet-aggregating activity of two human adenocarcinomas of the colon and an anaplastic murine tumor with a specific thrombin inhibitor: dansylarginine N-(3-ethyl-1, 5-pentanediyl)amide.. PubMed. 89. 479–502.16 indexed citations
8.
Pearlstein, Edward, Cynthia Ambrogio, G Gasic, & Simon Karpatkin. (1981). Inhibition of the platelet-aggregating activity of two human adenocarcinomas of the colon and an anaplastic murine tumor with a specific thrombin inhibitor, dansylarginine N-(3-ethyl-1,5-pentanediyl)amide.. PubMed. 41(11 Pt 1). 4535–9.79 indexed citations
9.
Gasic, G, David Boettiger, James L. Catalfamo, Tatiana B. Gasic, & Gwendolyn J. Stewart. (1978). Aggregation of platelets and cell membrane vesiculation by rat cells transformed in vitro by Rous sarcoma virus.. PubMed. 38(9). 2950–5.51 indexed citations
Gasic, G, et al.. (1975). Analysis of the abortifacient action of neuraminidase in mice.. The Mouseion at the JAXlibrary (Jackson Laboratory).1 indexed citations
12.
Gasic, G, Tatiana B. Gasic, Norbel Galanti, Thomas G. Johnson, & Scott Murphy. (1973). Platelet—tumor‐cell interactions in mice. The role of platelets in the spread of malignant disease. International Journal of Cancer. 11(3). 704–718.357 indexed citations breakdown →
13.
Gasic, G, Tatiana B. Gasic, & Carleton C. Stewart. (1968). Antimetastatic effects associated with platelet reduction.. Proceedings of the National Academy of Sciences. 61(1). 46–52.558 indexed citations breakdown →
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.