Dora Ninova

405 citations
12 papers · 360 · h-index 8

Impact in

Papers in

    • Pancreatic function and diabetes 3
    • Transplantation: Methods and Outcomes 2
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 2
    • Immune Cell Function and Interaction 2

Dora Ninova

12 papers receiving 353 citations

Peers

Dora Ninova
Comparison fields: 5 of 49
  • Transplantation 179
  • Nephrology 35
  • Immunology 84
  • Surgery 162
  • Immunology and Allergy 12
Replace Maryvonne Hourmant with:
Maryvonne Hourmant France
Alexandre Dufay France
Sourabh Chand United Kingdom
Tsutomu Hirohashi United States
Karoline Edtinger Germany
Frans H. J. Claas Netherlands
Janghoon Yoon United States
Aparna Padiyar United States
Yasuhiro Otsuka Japan
Carlos Fernandez-Bueno United States
Dora Ninova relative to Maryvonne Hourmant France Maryvonne Hourmant's profile →
Citations per field
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Maryvonne Hourmant · 1×
Citations per year

Countries citing papers authored by Dora Ninova

Since Specialization
Citations

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

Fields of papers citing papers by Dora Ninova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2003171
2 199561
3 200450
4 200318
5 200118
6 199512
7 19818
8 20047
9 19947
10 19994
11 19962
12 20042

About Dora Ninova

Dora Ninova is a scholar working on Surgery, Immunology, Transplantation, Molecular Biology and Oncology, having authored 12 papers that have together received 360 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Pancreatic function and diabetes (3 papers), Immunotherapy and Immune Responses (2 papers), Transplantation: Methods and Outcomes (2 papers), Cell Adhesion Molecules Research (2 papers), Immune Cell Function and Interaction (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Transplantation (179 citations), Nephrology (35 citations), Immunology (84 citations), Surgery (162 citations) and Immunology and Allergy (12 citations). Dora Ninova has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Mark D. Stegall, Joseph P. Grande, Walter D. Park, Jeffrey L. Platt, Karl A. Nath, James M. Gloor, Ruud A. F. Krom, Russell H. Wiesner, David Rea and Marshall I. Hertz. Their work appears in journals such as Transplantation, Transplant International, American Journal of Transplantation, Journal of Hepatology and Cellular Signalling.

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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