Emma Watz

1.5k citations
25 papers · 649 · h-index 14

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Hematopoietic Stem Cell Transplantation 18
    • Acute Myeloid Leukemia Research 2
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4

Emma Watz

25 papers receiving 640 citations

Peers

Emma Watz
Comparison fields: 5 of 53
  • Hematology 315
  • Immunology 259
  • Transplantation 29
  • Genetics 83
  • Oncology 192
Replace Dmitry Balashov with:
Dmitry Balashov Russia
Patrick Ladaique France
LA Baxter-Lowe United States
W Rybka United States
F. Falkenburg Netherlands
James Morton Australia
R Brown United States
EM Mickelson United States
Sinem Civriz Bozdağ Türkiye
Vicki Antonenas Australia
Emma Watz relative to Dmitry Balashov Russia Dmitry Balashov's profile →
Citations per field
00.5×1.5×1.9×
Dmitry Balashov · 1×
Citations per year

Countries citing papers authored by Emma Watz

Since Specialization
Citations

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

Fields of papers citing papers by Emma Watz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018143
2 201297
3 201582
4 200752
5 201435
6 201333
7 200829
8 200923
9 201522
10 201119
11 201917
12 201016
13 199916
14 201914
15 200810
16 20208
17 20196
18 20195
19 20195
20 20195

About Emma Watz

Emma Watz is a scholar working on Hematology, Immunology, Epidemiology, Biochemistry and Transplantation, having authored 25 papers that have together received 649 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (18 papers), T-cell and B-cell Immunology (4 papers), Blood transfusion and management (4 papers), Immune Cell Function and Interaction (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Acute Myeloid Leukemia Research (2 papers) and Dermatological and COVID-19 studies (2 papers). The work is most often cited by research in Hematology (315 citations), Immunology (259 citations), Transplantation (29 citations), Genetics (83 citations) and Oncology (192 citations). Emma Watz has collaborated with scholars based in Sweden, United States and Canada. Frequent co-authors include Jonas Mattsson, Michael Uhlin, Olle Ringdén, Mats Remberger, Per Ljungman, Agneta Wikman, Agneta Shanwell, Mehmet Uzunel, Mikael Sundin and Johan Törlén. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Vox Sanguinis, Transfusion, Clinical Cancer Research and Bone Marrow Transplantation.

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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