Elmina Mammadova‐Bach

1.6k citations
27 papers · 1.1k · h-index 17

Impact in

Papers in

Elmina Mammadova‐Bach

25 papers receiving 1.1k citations

Peers

Elmina Mammadova‐Bach
Comparison fields: 5 of 91
  • Internal Medicine 130
  • Hematology 334
  • Immunology and Allergy 102
  • Oncology 333
  • Immunology 177
Replace Hideo Ariyoshi with:
Hideo Ariyoshi Japan
Nadine J.A. Mattheij Netherlands
James McRedmond Ireland
Patricia M. Fernández United States
Shawn M. Jobe United States
R W Colman United States
Markus Bender Germany
James M. Onoda United States
Amy Mohan United States
A. Oda Japan
Elmina Mammadova‐Bach relative to Hideo Ariyoshi Japan Hideo Ariyoshi's profile →
Citations per field
00.5×20×40×66.5×
Hideo Ariyoshi · 1×
Citations per year

Countries citing papers authored by Elmina Mammadova‐Bach

Since Specialization
Citations

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

Fields of papers citing papers by Elmina Mammadova‐Bach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elmina Mammadova‐Bach. 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 Elmina Mammadova‐Bach. The network helps show where Elmina Mammadova‐Bach may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015188
2 2020130
3 201699
4 202180
5 201168
6 201067
7 201965
8 201954
9 201853
10 201851
11 201525
12 202324
13 202022
14 202320
15 202220
16 201920
17 202019
18 201816
19 202314
20 202213

About Elmina Mammadova‐Bach

Elmina Mammadova‐Bach is a scholar working on Molecular Biology, Hematology, Pulmonary and Respiratory Medicine, Oncology and Immunology, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (8 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Cell Adhesion Molecules Research (4 papers), Aortic Thrombus and Embolism (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Internal Medicine (130 citations), Hematology (334 citations), Immunology and Allergy (102 citations), Oncology (333 citations) and Immunology (177 citations). Elmina Mammadova‐Bach has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Attila Braun, Thomas Gudermann, Bernhard Nieswandt, Christian Gachet, Pierre Mangin, Hans‐Joachim Anders, Gertraud Orend, Scott I. Abrams, Olivier Lefèbvre and Patricia Simon‐Assmann. Their work appears in journals such as Blood, International Journal of Molecular Sciences, Frontiers in Oncology, Frontiers in Cardiovascular Medicine and Scientific Reports.

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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