Ingrid Påhlman

560 citations
19 papers · 457 indexed · h-index 11
Topics
Drug Transport and Resistance Mechanisms (7 papers)Neuropeptides and Animal Physiology (5 papers)Receptor Mechanisms and Signaling (4 papers)
Partner nations
SwedenAustriaDenmark

In The Last Decade

Ingrid Påhlman

19 papers receiving 438 citations

Peers

Ingrid Påhlman
Comparison fields: 5 of 81
  • Oncology 152
  • Molecular Biology 123
  • Surgery 102
  • Epidemiology 81
  • Hepatology 78
Replace S. Rapp with:
S. Rapp Germany
Gundula Grimberg Germany
J. P. Sunter United Kingdom
Yoshiyasu Shinohara Japan
Lise Sofie Haug Nissen‐Meyer Norway
Hiromasa Ishii Japan
Jing Meng China
Henning Wittenburg Germany
Michiyasu Ishizawa Japan
Marina Rousseau Canada
Ingrid Påhlman relative to S. Rapp Germany S. Rapp's profile →
Citations per field
00.5×10×16×
S. Rapp · 1×
Citations per year

Countries citing papers authored by Ingrid Påhlman

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Påhlman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingrid Påhlman

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 26
2 143
3 5
4 12
5 8
6 6
7 4
8 8
9 64
10 10
11 15
12 11
13 12
14 48
15 3
16
Pharmacokinetic-pharmacodynamic modeling of the immunomodulating agent susalimod and experimentally induced tumor necrosis factor-alpha levels in the mouse.
22
17 18
18 10
19 32

About Ingrid Påhlman

Ingrid Påhlman is a scholar working on Pharmacology, Gastroenterology and Immunology and Allergy, having authored 19 papers that have together received 457 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (7 papers), Neuropeptides and Animal Physiology (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Hepatology (78 citations), Pharmacology (73 citations) and Immunology and Allergy (37 citations). Ingrid Påhlman has collaborated with scholars based in Sweden, Austria and Denmark. Frequent co-authors include Michael Trauner, Anna Baghdasaryan, H. Graffner, Peter Fickert, Annika Wahlström, G. Paumgartner, Claudia Fuchs, Marcus Ståhlman, Emina Halilbasic and Hanns–Ulrich Marschall. Their work appears in journals such as Journal of Allergy and Clinical Immunology, Journal of Hepatology and Journal of Pharmacology and Experimental Therapeutics.

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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