Ursula Puchta

734 total citations
13 papers, 459 citations indexed

About

Ursula Puchta is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Ursula Puchta has authored 13 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Ursula Puchta's work include Cutaneous lymphoproliferative disorders research (4 papers), Antenna Design and Analysis (3 papers) and Full-Duplex Wireless Communications (3 papers). Ursula Puchta is often cited by papers focused on Cutaneous lymphoproliferative disorders research (4 papers), Antenna Design and Analysis (3 papers) and Full-Duplex Wireless Communications (3 papers). Ursula Puchta collaborates with scholars based in Germany, United States and Türkiye. Ursula Puchta's co-authors include Christian A. Sander, Michael J. Flaig, Amir S. Yazdi, Michael J. Flaig, Christian Andrés, Benedetta Belloni, Monika-Hildegard Schmid-Wendtner, Thomas Mentzel, Heinz Kutzner and Gabriele Palmedo and has published in prestigious journals such as Journal of Investigative Dermatology, British Journal of Dermatology and Archives of Dermatological Research.

In The Last Decade

Ursula Puchta

11 papers receiving 449 citations

Peers

Ursula Puchta
Comparison fields: 5 of 51
  • Oncology 297
  • Molecular Biology 174
  • Dermatology 97
  • Electrical and Electronic Engineering 89
  • Aerospace Engineering 83
Replace Giuseppe Macripò with:
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Daniel Coit United States
Ayman Al Habeeb Canada
Manisha Thakuria United States
Ayuko Taniguchi Japan
Anja Schöpflin Germany
Eugen C. Minca United States
Cathrin Ritter Germany
Guy S. Missotten Netherlands
Arash Radfar United States
Giuseppe Macripò Italy View profile →
Citations per field, relative to Ursula Puchta
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Citations per year, relative to Ursula Puchta
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Countries citing papers authored by Ursula Puchta

Since Specialization
Citations

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

Fields of papers citing papers by Ursula Puchta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ursula Puchta

This figure shows the co-authorship network connecting the top 25 collaborators of Ursula Puchta. A scholar is included among the top collaborators of Ursula Puchta 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 Ursula Puchta. Ursula Puchta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 18
2 14
3 15
4 87
5 0
6 25
7 27
8 19
9 2
10 176
11 31
12 0
13
Automated high-resolution polymerase chain reaction fragment analysis: a method for detecting T-cell receptor gamma-chain gene rearrangements in lymphoproliferative diseases.
45

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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