Ido D. Weiss

3.1k citations
48 papers · 2.3k indexed · h-index 30

Impact in

  • Immunology top 2%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Oncology top 5%
    • Chemokine receptors and signaling
    • Peptidase Inhibition and Analysis

Papers in

    • Immunotherapy and Immune Responses 18
    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 6
    • Cell Adhesion Molecules Research 8

Ido D. Weiss

47 papers receiving 2.2k citations

Peers

Ido D. Weiss
Comparison fields: 5 of 96
  • Immunology 1.0k
  • Oncology 977
  • Immunology and Allergy 159
  • Hematology 293
  • Hepatology 160
Replace Takami Matsuyama with:
Takami Matsuyama Japan
Ines Gütgemann Germany
Katsuyuki Ohmori Japan
Patrizia Leone Italy
Ori Wald Israel
Sharon L. Aukerman United States
Katia Beider Israel
Haifeng C. Xu Germany
Tao Dao United States
Ik‐Joo Chung South Korea
Ido D. Weiss relative to Takami Matsuyama Japan Takami Matsuyama's profile →
Citations per field
00.5×1.5×2.2×
Takami Matsuyama · 1×
Citations per year

Countries citing papers authored by Ido D. Weiss

Since Specialization
Citations

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

Fields of papers citing papers by Ido D. Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ido D. Weiss. 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 Ido D. Weiss. The network helps show where Ido D. Weiss may publish in the future.

Co-authors

The 25 scholars most cited alongside Ido D. Weiss, 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 Ido D. Weiss Line = papers co-authored together Ido D. Weiss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20183
3 201748
4 20176
5 201786
6 201659
7 20153
8 201568
9 201359
10 201371
11 2012110
12 201256
13 201080
14 201048
15 201072
16 200933
17 200752
18 200677
19 200417
20 1995137

About Ido D. Weiss

Ido D. Weiss is a scholar working on Immunology, Immunology and Allergy, Oncology, Hematology and Microbiology, having authored 48 papers that have together received 2.3k indexed citations. Recurring topics across this work include Chemokine receptors and signaling (21 papers), Immunotherapy and Immune Responses (18 papers), Immune Cell Function and Interaction (9 papers), Cell Adhesion Molecules Research (8 papers), T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Peptidase Inhibition and Analysis (5 papers) and Radiopharmaceutical Chemistry and Applications (5 papers). The work is most often cited by research in Immunology (1.0k citations), Oncology (977 citations), Immunology and Allergy (159 citations), Hematology (293 citations) and Hepatology (160 citations). Ido D. Weiss has collaborated with scholars based in United States, Israel and China. Frequent co-authors include Orit Jacobson, Amnon Peled, Eithan Galun, Dale O. Kiesewetter, Ori Wald, Joshua Μ. Farber, Hanna Wald, Xiaohong Chen, Michal Abraham and Katia Beider. Their work appears in journals such as Journal of Nuclear Medicine, The Journal of Immunology, Blood, Journal of Investigative Dermatology and Leukemia.

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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