Shlomit Reich-Zeliger

3.5k citations
49 papers · 2.3k indexed · 1 hit paper · h-index 25
Topics
Immune Cell Function and Interaction (31 papers)T-cell and B-cell Immunology (31 papers)Immunotherapy and Immune Responses (17 papers)

In The Last Decade

Shlomit Reich-Zeliger

48 papers receiving 2.3k citations

Hit Papers

Wishbone identifies bifurcating developmental trajectorie...20162026201920222016100200300

Peers

Shlomit Reich-Zeliger
Comparison fields: 5 of 108
  • Molecular Biology 1.2k
  • Immunology 1000
  • Oncology 359
  • Surgery 325
  • Genetics 317
Replace Christian Schmidl with:
Christian Schmidl Germany
Valeria Tosello Italy
Agnieszka Looney United States
Amanda Larson Gedman United States
Kirsten A. Fairfax Australia
Austin Hsu United States
Nicolás Gonzalo Núñez Argentina
Valerie Fong United States
Fiona Hamey United Kingdom
Emmanuelle Six France
Shlomit Reich-Zeliger relative to Christian Schmidl Germany Christian Schmidl's profile →
Citations per field
00.5×4.0×
Christian Schmidl · 1×
Citations per year

Countries citing papers authored by Shlomit Reich-Zeliger

Since Specialization
Citations

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

Fields of papers citing papers by Shlomit Reich-Zeliger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shlomit Reich-Zeliger. 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 Shlomit Reich-Zeliger. The network helps show where Shlomit Reich-Zeliger may publish in the future.

Co-authorship network of co-authors of Shlomit Reich-Zeliger

This figure shows the co-authorship network connecting the top 25 collaborators of Shlomit Reich-Zeliger. A scholar is included among the top collaborators of Shlomit Reich-Zeliger 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 Shlomit Reich-Zeliger. Shlomit Reich-Zeliger 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
#WorkIndexed citations
1 1
2 4
3 13
4 1
5 2
6 36
7 56
8
Wishbone identifies bifurcating developmental trajectories from single-cell databreakdown →
384
9 70
10 72
11 120
12 76
13 12
14 146
15 25
16 2
17 14
18 192
19 2
20 78

About Shlomit Reich-Zeliger

Shlomit Reich-Zeliger is a scholar working on Immunology, Hematology and Genetics, having authored 49 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (31 papers), T-cell and B-cell Immunology (31 papers) and Immunotherapy and Immune Responses (17 papers). The work is most often cited by research in Immunology (1000 citations), Genetics (317 citations) and Biophysics (163 citations). Shlomit Reich-Zeliger has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yaīr Reisner, Nir Friedman, Esther Bachar-Lustig, Eric Shifrut, Nir Friedman, Dana Pe’er, Lior Zangi, Raanan Margalit, Omer Angel and Kristy Choi. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.

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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