Hans Peter Gerber

2.0k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

Hans Peter Gerber is a scholar working on Molecular Biology, Oncology and Dermatology. According to data from OpenAlex, Hans Peter Gerber has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Dermatology. Recurrent topics in Hans Peter Gerber's work include Peptidase Inhibition and Analysis (2 papers), Dermatology and Skin Diseases (2 papers) and Immune Cell Function and Interaction (2 papers). Hans Peter Gerber is often cited by papers focused on Peptidase Inhibition and Analysis (2 papers), Dermatology and Skin Diseases (2 papers) and Immune Cell Function and Interaction (2 papers). Hans Peter Gerber collaborates with scholars based in United States and Switzerland. Hans Peter Gerber's co-authors include Scott N. Holden, Eric Holmgren, Jamey Skillings, Frank A. Scappaticci, Emily K. Bergsland, Jia Wang, Jenny Ngai, Kathy D. Miller, H. Hurwitz and Fairooz F. Kabbinavar and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Biochemical and Biophysical Research Communications and American Journal Of Pathology.

In The Last Decade

Hans Peter Gerber

8 papers receiving 1.4k citations

Hit Papers

Arterial Thromboembolic Events in Patients with Metastati... 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans Peter Gerber United States 6 470 458 353 310 226 8 1.4k
Carolyn J. Watson United Kingdom 11 248 0.5× 702 1.5× 110 0.3× 92 0.3× 74 0.3× 16 1.3k
Taina A. Partanen Finland 19 1.3k 2.7× 1.1k 2.5× 372 1.1× 258 0.8× 50 0.2× 24 2.1k
Marto Sugiono United Kingdom 14 243 0.5× 761 1.7× 97 0.3× 89 0.3× 42 0.2× 23 1.4k
Ulrich Richter Germany 9 136 0.3× 158 0.3× 207 0.6× 392 1.3× 103 0.5× 17 983
Scott M. Norberg United States 15 648 1.4× 945 2.1× 102 0.3× 149 0.5× 49 0.2× 35 2.0k
Évelyne Dupuy France 23 152 0.3× 443 1.0× 35 0.1× 65 0.2× 146 0.6× 62 1.7k
Wolfgang Röckl Germany 8 206 0.4× 718 1.6× 78 0.2× 51 0.2× 43 0.2× 10 1.0k
Tracy M. Sioussat United States 8 222 0.5× 660 1.4× 53 0.2× 45 0.1× 27 0.1× 11 1.1k
Minoru Furuta Japan 21 325 0.7× 325 0.7× 1.0k 2.8× 299 1.0× 48 0.2× 45 1.5k
Amit Nathwani United Kingdom 24 302 0.6× 601 1.3× 73 0.2× 125 0.4× 14 0.1× 67 1.5k

Countries citing papers authored by Hans Peter Gerber

Since Specialization
Citations

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

Fields of papers citing papers by Hans Peter Gerber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans Peter Gerber. 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 Hans Peter Gerber. The network helps show where Hans Peter Gerber may publish in the future.

Co-authorship network of co-authors of Hans Peter Gerber

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Peter Gerber. A scholar is included among the top collaborators of Hans Peter Gerber 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 Hans Peter Gerber. Hans Peter Gerber 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.
Tumey, L. Nathan, Fengping Li, Brian Rago, et al.. (2017). Site Selection: a Case Study in the Identification of Optimal Cysteine Engineered Antibody Drug Conjugates. The AAPS Journal. 19(4). 1123–1135. 48 indexed citations
2.
Gerber, Hans Peter, Ivan J. Stone, Jamie B. Miyamoto, et al.. (2008). 507 POSTER Potent antitumor activity of the anti-CD19 auristatin antibody-drug conjugate hBU12-vcMMAE in rituximab sensitive and resistant lymphomas. European Journal of Cancer Supplements. 6(12). 161–161. 2 indexed citations
3.
Oflazoglu, Ezogelin, et al.. (2008). CD30 expression on CD1a+ and CD8+ cells in atopic dermatitis and correlation with disease severity.. PubMed. 18(1). 41–9. 20 indexed citations
4.
Oflazoglu, Ezogelin, et al.. (2008). CD40 expression on antigen presenting cells and correlation with disease severity in atopic dermatitis.. PubMed. 18(5). 527–33. 2 indexed citations
5.
Scappaticci, Frank A., Jamey Skillings, Scott N. Holden, et al.. (2007). Arterial Thromboembolic Events in Patients with Metastatic Carcinoma Treated with Chemotherapy and Bevacizumab. JNCI Journal of the National Cancer Institute. 99(16). 1232–1239. 725 indexed citations breakdown →
6.
Marneros, Alexander G., Jie Fan, Yoshihito Yokoyama, et al.. (2005). Vascular Endothelial Growth Factor Expression in the Retinal Pigment Epithelium Is Essential for Choriocapillaris Development and Visual Function. American Journal Of Pathology. 167(5). 1451–1459. 296 indexed citations
7.
Gerber, Hans Peter. (2000). Angiogenesis and Bone Growth. Trends in Cardiovascular Medicine. 10(5). 223–228. 299 indexed citations
8.
Roth, Birgit, et al.. (1990). Expression of a human insulin-like growth factor II cDNA in NIH-3T3 cells. Biochemical and Biophysical Research Communications. 169(3). 832–839. 9 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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