Monika Paroder

865 citations
23 papers · 693 · h-index 11

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 3
    • Blood groups and transfusion 2
    • CAR-T cell therapy research 5
    • Drug Transport and Resistance Mechanisms 1

Monika Paroder

20 papers receiving 674 citations

Peers

Monika Paroder
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 168
  • Infectious Diseases 146
  • Oncology 66
  • Immunology 52
  • Molecular Biology 148
Replace Bo Guan with:
Bo Guan China
Glen A. Lutchman United States
Lisa Cameron Canada
Mads Krogsgaard Thomsen Denmark
Isao Nakano Japan
Mahshid Panahi Iran
Hanna J. Lee United States
S Asano Japan
Ümi̇t Yavuz Malkan Türkiye
Lydia Sturgis United States
Monika Paroder relative to Bo Guan China Bo Guan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Monika Paroder

Since Specialization
Citations

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

Fields of papers citing papers by Monika Paroder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008124
2 2009114
3 2006100
4 200682
5 202167
6 200748
7 202141
8 202037
9 201523
10 202116
11 202115
12 202111
13 20197
14 20212
15 20201
16 20211
17 20211
18 20221
19 20221
20 20251

About Monika Paroder

Monika Paroder is a scholar working on Hematology, Oncology, Infectious Diseases, Genetics and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 693 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), CAR-T cell therapy research (5 papers), Hematopoietic Stem Cell Transplantation (3 papers), Blood groups and transfusion (2 papers), Thyroid Disorders and Treatments (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Drug Transport and Resistance Mechanisms (1 paper) and Blood transfusion and management (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (168 citations), Infectious Diseases (146 citations), Oncology (66 citations), Immunology (52 citations) and Molecular Biology (148 citations). Monika Paroder has collaborated with scholars based in United States, Hungary and Spain. Frequent co-authors include Nancy Carrasco, Andrea Reyna‐Neyra, Juan Pablo Nicola, Carla Portulano, Cécile Basquin, Sanmay Bandyopadhyay, Fernando Macián, Irene Puga, Elizabeth Camp King and Wade R. Koba. Their work appears in journals such as Transfusion, Blood, Journal of Clinical Apheresis, BMC Cancer 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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