P. Lerch

3.6k citations
87 papers · 3.1k · h-index 23

Impact in

Papers in

P. Lerch

77 papers receiving 3.0k citations

Peers

P. Lerch
Comparison fields: 5 of 121
  • Endocrinology, Diabetes and Metabolism 645
  • Immunology 666
  • Cancer Research 445
  • Clinical Biochemistry 162
  • Surgery 834
Replace Klaas Hoekman with:
Klaas Hoekman Netherlands
Markku O. Pentikäinen Finland
Takashi Aikou Japan
Robert F. Ritchie United States
Anne Dawnay United Kingdom
Joan Dawes United Kingdom
Petra Zürbig Germany
Joseph P. Kriss United States
Ken Ogasawara Japan
Yoshiyuki Kakehi Japan
P. Lerch relative to Klaas Hoekman Netherlands Klaas Hoekman's profile →
Citations per field
00.5×2×3.2×
Klaas Hoekman · 1×
Citations per year

Countries citing papers authored by P. Lerch

Since Specialization
Citations

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

Fields of papers citing papers by P. Lerch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002383
2 1996348
3 2003255
4 2001212
5 1980206
6 1984135
7 1993130
8 1999126
9 2007121
10 1996107
11 200485
12 199683
13 199778
14 198370
15 199861
16 199655
17 198451
18 200945
19 198042
20 198340

About P. Lerch

P. Lerch is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Hematology, Immunology and Inorganic Chemistry, having authored 87 papers that have together received 3.1k indexed citations. Recurring topics across this work include Nuclear Physics and Applications (13 papers), Platelet Disorders and Treatments (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), X-ray Spectroscopy and Fluorescence Analysis (10 papers), Radiopharmaceutical Chemistry and Applications (9 papers), Chemical Synthesis and Characterization (6 papers), Glycosylation and Glycoproteins Research (6 papers) and Radioactive element chemistry and processing (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (645 citations), Immunology (666 citations), Cancer Research (445 citations), Clinical Biochemistry (162 citations) and Surgery (834 citations). P. Lerch has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include J E Doran, Egon E. Rickli, Matt van de Rijn, N.E. Miller, Cox Terhorst, W. Lergier, Dieter Gillessen, Tom van der Poll, Dasja Pajkrt and Reinhard Bolli. Their work appears in journals such as Journal of Radioanalytical and Nuclear Chemistry, Vox Sanguinis, Inorganica Chimica Acta, Circulation and Molecular Immunology.

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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