James Favaloro

27 total papers · 679 total citations
17 papers, 496 citations indexed

About

James Favaloro is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, James Favaloro has authored 17 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 9 papers in Immunology and 6 papers in Oncology. Recurrent topics in James Favaloro's work include Multiple Myeloma Research and Treatments (6 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (4 papers). James Favaloro is often cited by papers focused on Multiple Myeloma Research and Treatments (6 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (4 papers). James Favaloro collaborates with scholars based in Australia and United States. James Favaloro's co-authors include John Gibson, P. Joy Ho, Hayley Suen, Ross Brown, Derek N.J. Hart, Phillip D. Fromm, Shihong Yang, Douglas Joshua, Narelle Woodland and Najah T. Nassif and has published in prestigious journals such as Blood, Frontiers in Immunology and American Journal of Clinical Pathology.

In The Last Decade

James Favaloro

15 papers receiving 491 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
James Favaloro	328	257	201	117	33	17	496
Michael Conzelmann	160 0.5×	174 0.7×	144 0.7×	120 1.0×	50 1.5×	14	499
JK Fraser	337 1.0×	174 0.7×	114 0.6×	65 0.6×	21 0.6×	11	544
Ruishu Deng	245 0.7×	366 1.4×	141 0.7×	86 0.7×	35 1.1×	18	580
Christina Gasparetto	290 0.9×	125 0.5×	158 0.8×	129 1.1×	17 0.5×	16	455
AW Wognum	334 1.0×	196 0.8×	128 0.6×	163 1.4×	19 0.6×	22	560
T Kubo	206 0.6×	140 0.5×	107 0.5×	90 0.8×	32 1.0×	17	472
Claudine Leberre	267 0.8×	158 0.6×	80 0.4×	50 0.4×	34 1.0×	15	504
Hella L. Aberson	143 0.4×	117 0.5×	117 0.6×	230 2.0×	38 1.2×	15	477
A. B. Kriegler	267 0.8×	186 0.7×	122 0.6×	141 1.2×	16 0.5×	18	487
SA Burstein	398 1.2×	97 0.4×	106 0.5×	125 1.1×	53 1.6×	20	575

Countries citing papers authored by James Favaloro

Since Specialization

Citations

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

Fields of papers citing papers by James Favaloro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Favaloro

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

All Works

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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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