Nadezda Gracheva

10 total papers · 638 total citations
9 papers, 436 citations indexed

About

Nadezda Gracheva is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Nadezda Gracheva has authored 9 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Nadezda Gracheva's work include Radiopharmaceutical Chemistry and Applications (7 papers), Prostate Cancer Treatment and Research (2 papers) and Radioactive element chemistry and processing (2 papers). Nadezda Gracheva is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (7 papers), Prostate Cancer Treatment and Research (2 papers) and Radioactive element chemistry and processing (2 papers). Nadezda Gracheva collaborates with scholars based in Switzerland, France and Sweden. Nadezda Gracheva's co-authors include Nicholas P. van der Meulen, Cristina Müller, Roger Schibli, U. Köster, Peter Bernhardt, Jan Rijn Zeevaart, Christoph A. Umbricht, Viviane J. Tschan, Giovanni Pellegrini and Zeynep Talip and has published in prestigious journals such as Scientific Reports, Journal of Nuclear Medicine and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Nadezda Gracheva

9 papers receiving 434 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Nadezda Gracheva	350	200	79	78	61	9	436
Jesper Fonslet	259 0.7×	107 0.5×	60 0.8×	48 0.6×	35 0.6×	22	466
Bernard Ponsard	306 0.9×	108 0.5×	73 0.9×	52 0.7×	26 0.4×	22	379
Raffaella M. Schmid	299 0.9×	166 0.8×	111 1.4×	21 0.3×	43 0.7×	11	426
Y. Sheh	339 1.0×	142 0.7×	93 1.2×	47 0.6×	13 0.2×	7	392
Tara Mastren	297 0.8×	129 0.6×	72 0.9×	83 1.1×	17 0.3×	31	477
Una Jermilova	333 1.0×	134 0.7×	80 1.0×	34 0.4×	24 0.4×	9	468
Jörg Brockmann	290 0.8×	89 0.4×	101 1.3×	53 0.7×	119 2.0×	13	492
Nebiat Sisay	252 0.7×	82 0.4×	92 1.2×	23 0.3×	22 0.4×	6	394
Victoria Brown	302 0.9×	101 0.5×	55 0.7×	40 0.5×	17 0.3×	8	376
Michael D. Loberg	210 0.6×	215 1.1×	91 1.2×	19 0.2×	90 1.5×	19	479

Countries citing papers authored by Nadezda Gracheva

Since Specialization

Citations

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

Fields of papers citing papers by Nadezda Gracheva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadezda Gracheva

This figure shows the co-authorship network connecting the top 25 collaborators of Nadezda Gracheva. A scholar is included among the top collaborators of Nadezda Gracheva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nadezda Gracheva. Nadezda Gracheva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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