Welbeck Danquah

823 total citations
8 papers, 531 citations indexed

About

Welbeck Danquah is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Welbeck Danquah has authored 8 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Welbeck Danquah's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Adenosine and Purinergic Signaling (3 papers). Welbeck Danquah is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Glycosylation and Glycoproteins Research (4 papers) and Adenosine and Purinergic Signaling (3 papers). Welbeck Danquah collaborates with scholars based in Germany, United Arab Emirates and United States. Welbeck Danquah's co-authors include Friedrich Koch‐Nolte, Friedrich Haag, Björn Rissiek, Fernando A. Goldbaum, Mariela Urrutia, Vanina Alzogaray, Sahil Adriouch, Felix Scheuplein, Karla Juárez‐Moreno and Janusz Wesolowski and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Journal of Leukocyte Biology.

In The Last Decade

Welbeck Danquah

8 papers receiving 516 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Welbeck Danquah Germany 6 319 273 169 57 53 8 531
Jan Reyelt Germany 4 327 1.0× 300 1.1× 164 1.0× 59 1.0× 43 0.8× 6 527
Janusz Wesolowski Germany 4 292 0.9× 250 0.9× 140 0.8× 60 1.1× 38 0.7× 5 460
Vanina Alzogaray Argentina 8 405 1.3× 357 1.3× 207 1.2× 67 1.2× 70 1.3× 9 649
Mandy Unger Germany 5 330 1.0× 326 1.2× 211 1.2× 138 2.4× 63 1.2× 5 641
Barry Kriegsman United States 7 86 0.3× 438 1.6× 296 1.8× 109 1.9× 37 0.7× 9 733
Stefan Ståhl Sweden 8 215 0.7× 352 1.3× 33 0.2× 46 0.8× 33 0.6× 9 500
William Harriman United States 14 222 0.7× 399 1.5× 172 1.0× 40 0.7× 52 1.0× 25 639
Ryan Trinh United States 8 184 0.6× 235 0.9× 108 0.6× 44 0.8× 18 0.3× 10 389
Imran Mohammed United Kingdom 19 408 1.3× 248 0.9× 205 1.2× 20 0.4× 26 0.5× 37 1.0k
A. Knight United Kingdom 8 116 0.4× 186 0.7× 307 1.8× 55 1.0× 22 0.4× 8 598

Countries citing papers authored by Welbeck Danquah

Since Specialization
Citations

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

Fields of papers citing papers by Welbeck Danquah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Welbeck Danquah

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

All Works

8 of 8 papers shown
1.
Danquah, Welbeck, Romain Hardet, Friedrich Haag, et al.. (2022). Development of Antibody and Nanobody Tools for P2X7. Methods in molecular biology. 2510. 99–127. 8 indexed citations
2.
Danquah, Welbeck, et al.. (2022). Origin, distribution, and function of three frequent coding polymorphisms in the gene for the human P2X7 ion channel. Frontiers in Pharmacology. 13. 1033135–1033135. 6 indexed citations
3.
Torres, Jonathan L., Robyn L. Stanfield, Welbeck Danquah, et al.. (2017). Selection of nanobodies with broad neutralizing potential against primary HIV-1 strains using soluble subtype C gp140 envelope trimers. Scientific Reports. 7(1). 8390–8390. 32 indexed citations
4.
Wernery, U., et al.. (2016). P-D1 Selection and characterization of neutralizing nanobodies from dromedaries immunized with soluble trimeric HIV-1 Env SOSIP proteins. JAIDS Journal of Acquired Immune Deficiency Syndromes. 71(Supplement 1). 91–91. 1 indexed citations
5.
Dietrich, Ursula, et al.. (2014). P-E2 Selection of single domain antibody fragments (nanobodies) from dromedaries immunized with HIV-1 subtype C gp140 SOSIPs. JAIDS Journal of Acquired Immune Deficiency Syndromes. 67(Supplement 3). 94–94. 1 indexed citations
6.
Rissiek, Björn, Welbeck Danquah, Friedrich Haag, & Friedrich Koch‐Nolte. (2013). Technical Advance: A new cell preparation strategy that greatly improves the yield of vital and functional Tregs and NKT cells. Journal of Leukocyte Biology. 95(3). 543–549. 45 indexed citations
7.
Alzogaray, Vanina, Welbeck Danquah, Andrés Aguirre, et al.. (2010). Single‐domain llama antibodies as specific intracellular inhibitors of SpvB, the actin ADP‐ribosylating toxin of Salmonella typhimurium. The FASEB Journal. 25(2). 526–534. 32 indexed citations
8.
Wesolowski, Janusz, Vanina Alzogaray, Jan Reyelt, et al.. (2009). Single domain antibodies: promising experimental and therapeutic tools in infection and immunity. Medical Microbiology and Immunology. 198(3). 157–174. 406 indexed citations

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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