Tsvee Lapidot

30.0k total citations · 10 hit papers
152 papers, 21.6k citations indexed

About

Tsvee Lapidot is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, Tsvee Lapidot has authored 152 papers receiving a total of 21.6k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Hematology, 67 papers in Immunology and 59 papers in Oncology. Recurrent topics in Tsvee Lapidot's work include Hematopoietic Stem Cell Transplantation (74 papers), Chemokine receptors and signaling (36 papers) and Immunotherapy and Immune Responses (35 papers). Tsvee Lapidot is often cited by papers focused on Hematopoietic Stem Cell Transplantation (74 papers), Chemokine receptors and signaling (36 papers) and Immunotherapy and Immune Responses (35 papers). Tsvee Lapidot collaborates with scholars based in Israel, United States and Germany. Tsvee Lapidot's co-authors include Órit Kollet, Isabelle Petit, John E. Dick, Arnon Nagler, Ayelet Dar, Barbara Murdoch, Josef Vormoor, Amnon Peled, Mark D. Minden and Christian Sirard and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Tsvee Lapidot

146 papers receiving 21.3k citations

Hit Papers

A cell initiating human acute myeloid leukaemia after tra... 1994 2026 2004 2015 1994 1999 2002 1998 2005 1000 2.0k 3.0k

Peers

Tsvee Lapidot
Comparison fields: 5 of 139
  • Molecular Biology 8.4k
  • Hematology 8.2k
  • Oncology 8.0k
  • Immunology 7.3k
  • Genetics 4.0k
Replace Tatsutoshi Nakahata with:
Tatsutoshi Nakahata Japan
Connie J. Eaves Canada
Hiromitsu Nakauchi Japan
Gerard C. Grosveld United States
Catherine M. Verfaillie United States
R. Keith Humphries Canada
William Vainchenker France
Seishi Ogawa Japan
Dominique Bonnet United Kingdom
Andreas Trumpp Germany
Tatsutoshi Nakahata Japan View profile →
Citations per field, relative to Tsvee Lapidot
Tsvee Lapidot · 1×
Citations per year, relative to Tsvee Lapidot
Tsvee Lapidot · 1×

Countries citing papers authored by Tsvee Lapidot

Since Specialization
Citations

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

Fields of papers citing papers by Tsvee Lapidot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tsvee Lapidot

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 27
3 2
4 2
5 249
6 1
7 79
8 81
9 4
10 46
11 12
12 495
13 43
14 354
15 160
16 128
17
Targeted Disruption of the Mouse Caspase 8 Gene Ablates Cell Death Induction by the TNF Receptors, Fas/Apo1, and DR3 and Is Lethal Prenatally breakdown →
999
18 65
19 4
20 36

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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2026