Diana Karpman

10.4k total citations
112 papers, 5.3k citations indexed

About

Diana Karpman is a scholar working on Immunology, Hematology and Endocrinology. According to data from OpenAlex, Diana Karpman has authored 112 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Immunology, 39 papers in Hematology and 33 papers in Endocrinology. Recurrent topics in Diana Karpman's work include Complement system in diseases (60 papers), Escherichia coli research studies (33 papers) and Renal Diseases and Glomerulopathies (28 papers). Diana Karpman is often cited by papers focused on Complement system in diseases (60 papers), Escherichia coli research studies (33 papers) and Renal Diseases and Glomerulopathies (28 papers). Diana Karpman collaborates with scholars based in Sweden, United States and France. Diana Karpman's co-authors include Catharina Svanborg, Ida Arvidsson, Anne-lie Ståhl, Anne-lie Ståhl, Ann‐Charlotte Kristoffersson, Lisa Sartz, Zivile Békássy, Robin Kahn, Karl Johansson and Ramesh Tati and has published in prestigious journals such as The Lancet, The Journal of Experimental Medicine and Blood.

In The Last Decade

Diana Karpman

109 papers receiving 5.2k citations

Peers

Diana Karpman
Comparison fields: 5 of 132
  • Immunology 2.6k
  • Endocrinology 1.3k
  • Molecular Biology 1.3k
  • Nephrology 1.3k
  • Hematology 1.1k
Replace Richard L. Siegler with:
Richard L. Siegler United States
Hans‐Willi Mittrücker Germany
Kazue Takahashi United States
Renato C. Monteiro France
David F. Keren United States
Nicole Haeffner‐Cavaillon France
J H Passwell Israel
Katryn J. Stacey Australia
Beatrix Fauler Germany
Carol J. Landers United States
Richard L. Siegler United States View profile →
Citations per field, relative to Diana Karpman
Diana Karpman · 1×
Citations per year, relative to Diana Karpman
Diana Karpman · 1×

Countries citing papers authored by Diana Karpman

Since Specialization
Citations

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

Fields of papers citing papers by Diana Karpman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Karpman

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 6
4 92
5 15
6 23
7 35
8 17
9 30
10
Complement Activation on Platelet-Leukocyte Complexes and Microparticles in Enterohemorrhagic Escherichia coli-Induced Hemolytic Uremic Syndrome
2
11 42
12 31
13 42
14 25
15 56
16 76
17 43
18 31
19 19
20
The role of endotoxin and shiga-like toxin in a mouse model of Escherichia coli O157H7 infection
7

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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