IL Weissman

1.4k total citations
13 papers, 1.2k citations indexed

About

IL Weissman is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, IL Weissman has authored 13 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in IL Weissman's work include Mesenchymal stem cell research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Immune Cell Function and Interaction (4 papers). IL Weissman is often cited by papers focused on Mesenchymal stem cell research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Immune Cell Function and Interaction (4 papers). IL Weissman collaborates with scholars based in United States and Israel. IL Weissman's co-authors include Naoshige Uchida, WH Fleming, Eric Lagasse, Koichi Ikuta, GJ Spangrude, Libuse Jerabek, M Howard, RS Negrin, Baruch Rinkevich and Rachel Ben‐Shlomo and has published in prestigious journals such as The Journal of Cell Biology, Blood and Marine Ecology Progress Series.

In The Last Decade

IL Weissman

13 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
IL Weissman United States 11 563 479 470 242 220 13 1.2k
Craig L. Semerad United States 14 421 0.7× 627 1.3× 758 1.6× 305 1.3× 137 0.6× 15 1.7k
Luigi Vitelli Italy 16 275 0.5× 326 0.7× 624 1.3× 154 0.6× 123 0.6× 20 1.2k
William J. Scott United States 3 221 0.4× 283 0.6× 589 1.3× 144 0.6× 112 0.5× 3 989
Fredrick G. Karnell United States 14 371 0.7× 935 2.0× 1.3k 2.8× 357 1.5× 180 0.8× 16 2.2k
Lynn Graf United States 17 295 0.5× 393 0.8× 458 1.0× 187 0.8× 111 0.5× 30 1.0k
Tiago C. Luís United Kingdom 14 642 1.1× 635 1.3× 1.1k 2.3× 225 0.9× 234 1.1× 28 1.9k
Richard C. van der Wath Switzerland 5 844 1.5× 553 1.2× 671 1.4× 294 1.2× 222 1.0× 5 1.5k
MI Collector United States 9 478 0.8× 261 0.5× 344 0.7× 202 0.8× 282 1.3× 10 976
Adele Giampaolo Italy 21 491 0.9× 281 0.6× 857 1.8× 127 0.5× 288 1.3× 47 1.6k
Cécile De Bruyn Belgium 23 318 0.6× 492 1.0× 508 1.1× 275 1.1× 1.3k 5.7× 38 1.8k

Countries citing papers authored by IL Weissman

Since Specialization
Citations

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

Fields of papers citing papers by IL Weissman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of IL Weissman

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

All Works

13 of 13 papers shown
1.
Ben‐Shlomo, Rachel, et al.. (2002). Genetic variability of Botryllus schlosseri invasions to the east and west coasts of the USA. Marine Ecology Progress Series. 243. 93–100. 63 indexed citations
2.
Howard, M, et al.. (1996). Expression of murine CD38 defines a population of long-term reconstituting hematopoietic stem cells. Blood. 87(10). 4057–4067. 116 indexed citations
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Morrison, Sean J., Eric Lagasse, & IL Weissman. (1994). Demonstration that Thy(lo) subsets of mouse bone marrow that express high levels of lineage markers are not significant hematopoietic progenitors. Blood. 83(12). 3480–3490. 1 indexed citations
7.
Morrison, Sean J., Eric Lagasse, & IL Weissman. (1994). Demonstration that Thy(lo) subsets of mouse bone marrow that express high levels of lineage markers are not significant hematopoietic progenitors. Blood. 83(12). 3480–3490. 22 indexed citations
8.
Fleming, WH, et al.. (1993). Functional heterogeneity is associated with the cell cycle status of murine hematopoietic stem cells. The Journal of Cell Biology. 122(4). 897–902. 238 indexed citations
9.
Lagasse, Eric & IL Weissman. (1992). Mouse MRP8 and MRP14, two intracellular calcium-binding proteins associated with the development of the myeloid lineage. Blood. 79(8). 1907–1915. 125 indexed citations
10.
Lagasse, Eric & IL Weissman. (1992). Mouse MRP8 and MRP14, two intracellular calcium-binding proteins associated with the development of the myeloid lineage. Blood. 79(8). 1907–1915. 18 indexed citations
11.
Waller, Edmund K., et al.. (1991). Growth of primary T-cell non-Hodgkin's lymphomata in SCID-hu mice: requirement for a human lymphoid microenvironment. Blood. 78(10). 2650–2665. 41 indexed citations
12.
Waller, Edmund K., et al.. (1991). Growth of primary T-cell non-Hodgkin's lymphomata in SCID-hu mice: requirement for a human lymphoid microenvironment. Blood. 78(10). 2650–2665. 6 indexed citations
13.
Spangrude, GJ, et al.. (1991). Mouse hematopoietic stem cells. Blood. 78(6). 1395–1402. 182 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.

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