N. Schwella

1.8k citations
54 papers · 1.4k · h-index 19

Impact in

  • Hematology top 2%
    • Hematopoietic Stem Cell Transplantation
  • Oncology top 5%
    • Neutropenia and Cancer Infections
    • Colorectal Cancer Surgical Treatments
    • CAR-T cell therapy research

Papers in

    • Hematopoietic Stem Cell Transplantation 24
    • Acute Myeloid Leukemia Research 5
    • Testicular diseases and treatments 8

N. Schwella

50 papers receiving 1.4k citations

Peers

N. Schwella
Comparison fields: 5 of 76
  • Hematology 454
  • Oncology 464
  • Immunology 226
  • Genetics 86
  • Surgery 340
Replace Simona Secondino with:
Simona Secondino Italy
Daniele Laszlò Italy
Carlos Vallejo United States
Oumédaly Reman France
Christopher J. Thoburn United States
Rik Schots Belgium
Atsushi Kikuta Japan
P L Weiden United States
Robert Lowsky United States
S Falk Germany
N. Schwella relative to Simona Secondino Italy Simona Secondino's profile →
Citations per field
00.5×1.5×2.4×
Simona Secondino · 1×
Citations per year

Countries citing papers authored by N. Schwella

Since Specialization
Citations

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

Fields of papers citing papers by N. Schwella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995214
2 1999181
3 2006170
4 200199
5 199672
6 199845
7 199443
8 199743
9 199542
10 199832
11 200132
12 200130
13 199830
14 199828
15
Ondansetron for efficient emesis control during total body irradiation.
199422
16 200321
17 199819
18 200018
19 199818
20 200017

About N. Schwella

N. Schwella is a scholar working on Hematology, Surgery, Oncology, Immunology and Genetics, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (24 papers), Testicular diseases and treatments (8 papers), Mesenchymal stem cell research (5 papers), Acute Myeloid Leukemia Research (5 papers), T-cell and B-cell Immunology (4 papers), Neutropenia and Cancer Infections (3 papers), Immune Cell Function and Interaction (3 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Hematology (454 citations), Oncology (464 citations), Immunology (226 citations), Genetics (86 citations) and Surgery (340 citations). N. Schwella has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include D. Huhn, J. Beyer, Oliver Rick, W. Siegert, Stefan Serke, J. Zingsem, Ingo Schwaner, D. Kingreen, Imke Strohscheer and Helmut Oettle. Their work appears in journals such as Vox Sanguinis, Annals of Hematology, Transfusion, Journal of Clinical Oncology 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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