J. McMannis

41 papers receiving 1.0k citations

Peers

J. McMannis
Comparison fields: 5 of 70
  • Hematology 535
  • Genetics 360
  • Immunology 376
  • Oncology 300
  • Transplantation 24
Replace Joan García‐López with:
Joan García‐López Spain
R. J. Berenson United States
W.E. Fibbe Netherlands
H.-D. Kleine Germany
Beatrice Del Papa Italy
Brigitta Omazic Sweden
Philippe Hénon France
Debora Cecchini Italy
K Longin United States
EF Srour United States
J. McMannis relative to Joan García‐López Spain Joan García‐López's profile →
Citations per field
00.5×1.5×
Joan García‐López · 1×
Citations per year

Countries citing papers authored by J. McMannis

Since Specialization
Citations

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

Fields of papers citing papers by J. McMannis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. McMannis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with J. McMannis Line = papers co-authored together J. McMannis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006184
2 2008183
3 198871
4
Laboratory correlates of adoptive immunotherapy with recombinant interleukin-2 and lymphokine-activated killer cells in humans.
198867
5 200556
6 199854
7 199044
8
Appearance and phenotypic characterization of circulating Leu 19+ cells in cancer patients receiving recombinant interleukin 2.
198843
9 200942
10 200737
11 201036
12 199835
13 200630
14 200629
15 200924
16 200111
17 20059
18 20018
19 20067
20 20066

About J. McMannis

J. McMannis is a scholar working on Hematology, Transplantation, Genetics, Immunology and Oncology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (17 papers), Immunotherapy and Immune Responses (10 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), Mesenchymal stem cell research (5 papers), CAR-T cell therapy research (5 papers), Acute Myeloid Leukemia Research (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (535 citations), Genetics (360 citations), Immunology (376 citations), Oncology (300 citations) and Transplantation (24 citations). J. McMannis has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Marcos de Lima, Safa Karandish, Richard E. Champlin, Elizabeth J. Shpall, Stephen P. Creekmore, T. Sadeghi, Donald P. Braun, Richard I. Fisher, Krishna V. Komanduri and Hui Yang. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Journal of Clinical Oncology, Bone Marrow Transplantation, Cytotherapy and Blood.

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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