P. Lamesch

4.1k citations
58 papers · 2.9k indexed · 1 hit paper · h-index 24

P. Lamesch

58 papers receiving 2.8k citations

Hit Papers

The Arabidopsis Information Resource (TAIR): gene structu...7742007202620132019250500750

Peers

P. Lamesch
Comparison fields: 5 of 108
  • Hepatology 764
  • Transplantation 100
  • Surgery 1.2k
  • Endocrinology, Diabetes and Metabolism 435
  • Epidemiology 570
Replace Francisco Colina with:
Francisco Colina Spain
Chuan Shen China
Stephen H. Powis United Kingdom
E Pisi Italy
Gang Zeng United States
Kuo-Jang Kao United States
Mutsuo Sasaki Japan
Hans‐Peter Dienes Germany
Juerg Reichen Switzerland
Xavier Stéphenne Belgium
P. Lamesch relative to Francisco Colina Spain Francisco Colina's profile →
Citations per field
00.5×1.5×1.8×
Francisco Colina · 1×
Citations per year

Countries citing papers authored by P. Lamesch

Since Specialization
Citations

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

Fields of papers citing papers by P. Lamesch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201110
2 201016
3 20093
4 20098
5
The Arabidopsis Information Resource (TAIR): gene structure and function annotationbreakdown →
2007774
6 200618
7 20057
8 200581
9 200336
10 200227
11 200123
12 200139
13 200126
14 200030
15 199814
16 199411
17 19913
18 199065
19 198889
20 1987108

About P. Lamesch

P. Lamesch is a scholar working on Hepatology, Transplantation and Nephrology, having authored 58 papers that have together received 2.9k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (18 papers), Liver Disease and Transplantation (14 papers), Liver Disease Diagnosis and Treatment (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Thyroid Disorders and Treatments (5 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Liver physiology and pathology (4 papers) and Parathyroid Disorders and Treatments (4 papers). The work is most often cited by research in Hepatology (764 citations), Transplantation (100 citations) and Surgery (1.2k citations). P. Lamesch has collaborated with scholars based in Germany, United States and Luxembourg. Frequent co-authors include R. Pichlmayr, G. Gubernatis, J. Hauß, Eva Huala, Donghui Li, David Swarbreck, Tim De Meyer, M. Garcia-Hernandez, Amie Radenbaugh and Ping Zhang. Their work appears in journals such as European Journal of Endocrinology, Langenbeck s Archives of Surgery, Experimental and Clinical Endocrinology & Diabetes, World Journal of Surgery and Thyroid.

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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