Tim Sauer

3.0k citations
50 papers · 1.1k indexed · h-index 17

Impact in

  • Oncology top 5%
    • CAR-T cell therapy research
  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation

Papers in

    • Acute Myeloid Leukemia Research 14
    • Hematopoietic Stem Cell Transplantation 7
    • Multiple Myeloma Research and Treatments 5
    • CAR-T cell therapy research 28

Tim Sauer

47 papers receiving 1.1k citations

Peers

Tim Sauer
Comparison fields: 5 of 97
  • Oncology 734
  • Hematology 237
  • Immunology 326
  • Genetics 251
  • Molecular Biology 378
Replace Sanfang Tu with:
Sanfang Tu China
Takahiro Kamiya Japan
Stephanie Mgebroff United States
Kai Rejeski Germany
Margherita Norelli Italy
Tatsunori Goto Japan
Hai Cheng China
Sunil S. Raikar United States
Merav Bar United States
Giulia Barbiera Italy
Tim Sauer relative to Sanfang Tu China Sanfang Tu's profile →
Citations per field
00.5×
Sanfang Tu · 1×
Citations per year

Countries citing papers authored by Tim Sauer

Since Specialization
Citations

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

Fields of papers citing papers by Tim Sauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017220
2 2021142
3 2017116
4 201668
5 201455
6 202048
7 202140
8 202135
9 202032
10 201629
11 202127
12 202127
13 201225
14 201425
15 201521
16 201520
17 202117
18 202416
19 201815
20 202314

About Tim Sauer

Tim Sauer is a scholar working on Hematology, Oncology, Immunology, Genetics and Family Practice, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include CAR-T cell therapy research (28 papers), Acute Myeloid Leukemia Research (14 papers), Immune Cell Function and Interaction (12 papers), Virus-based gene therapy research (11 papers), Acute Lymphoblastic Leukemia research (7 papers), Hematopoietic Stem Cell Transplantation (7 papers), Immunotherapy and Immune Responses (5 papers) and Multiple Myeloma Research and Treatments (5 papers). The work is most often cited by research in Oncology (734 citations), Hematology (237 citations), Immunology (326 citations), Genetics (251 citations) and Molecular Biology (378 citations). Tim Sauer has collaborated with scholars based in Germany, United States and China. Frequent co-authors include Cliona M. Rooney, Carsten Müller‐Tidow, Bilal Omer, Stephen Gottschalk, Kathan Parikh, Michael Schmitt, Malcolm K. Brenner, Thomas Shum, Haruko Tashiro and Christoph Schliemann. Their work appears in journals such as Blood, Blood Advances, Cancers, Bone Marrow Transplantation and Frontiers in Immunology.

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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