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.
This map shows the geographic impact of I. J. Fidler'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 I. J. Fidler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I. J. Fidler more than expected).
This network shows the impact of papers produced by I. J. Fidler. 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 I. J. Fidler. The network helps show where I. J. Fidler may publish in the future.
Co-authorship network of co-authors of I. J. Fidler
This figure shows the co-authorship network connecting the top 25 collaborators of I. J. Fidler.
A scholar is included among the top collaborators of I. J. Fidler 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 I. J. Fidler. I. J. Fidler is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Watanabe, M., et al.. (1997). Orthotopic implantation of stomach cancer. 11(9). 1011–1015.1 indexed citations
4.
Dong, Zhitao, et al.. (1995). Direct correlation between expression of endogenous inducible nitric oxide synthase and regression of M5076 reticulum cell sarcoma hepatic metastases in mice treated with liposomes containing lipopeptide CGP 31362.. PubMed. 55(14). 3123–31.70 indexed citations
Gutman, Mordechai, Rakesh K. Singh, Janet E. Price, D. Fan, & I. J. Fidler. (1994). Accelerated growth of human colon cancer cells in nude mice undergoing liver regeneration.. PubMed. 14(1-6). 362–71.26 indexed citations
Fidler, I. J., et al.. (1989). Activated human blood monocytes trigger the antitumor activity of blood polymorphonuclear cells.. PubMed. 8(4). 427–37.6 indexed citations
LeGrue, Stephen J., I Saiki, Cynthia A. Romerdahl, & I. J. Fidler. (1987). Systemic macrophage activation by liposomes containing MTP-PE in mice immunosuppressed with cyclosporine.. PubMed. 43(4). 584–6.2 indexed citations
15.
Fidler, I. J.. (1983). The generation of tumoricidal activity in macrophages for the treatment of established metastases.. PubMed. 36. 421–35.5 indexed citations
16.
Schroit, A. J., IR Hart, Jeppe Madsen, & I. J. Fidler. (1983). Selective delivery of drugs encapsulated in liposomes: natural targeting to macrophages involved in various disease states.. PubMed. 2(2). 97–100.31 indexed citations
17.
Schroit, A. J. & I. J. Fidler. (1982). Delivery of macrophage-augmenting factors encapsulated in liposomes for destruction of tumor metastases.. PubMed. 102 pt A. 347–55.1 indexed citations
18.
Fidler, I. J. & IR Hart. (1982). The development of biological diversity and metastatic potential in malignant neoplasms.. PubMed. 4(1-2). 161–76.13 indexed citations
19.
Fidler, I. J., S Sone, William E. Fogler, et al.. (1982). Efficacy of liposomes containing a lipophilic muramyl dipeptide derivative for activating the tumoricidal properties of alveolar macrophages in vivo. 1(1). 43–55.55 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.