I. Wichmann

1.2k total citations
47 papers, 832 citations indexed

About

I. Wichmann is a scholar working on Immunology, Rheumatology and Epidemiology. According to data from OpenAlex, I. Wichmann has authored 47 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 13 papers in Rheumatology and 10 papers in Epidemiology. Recurrent topics in I. Wichmann's work include Systemic Lupus Erythematosus Research (11 papers), Liver Diseases and Immunity (9 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). I. Wichmann is often cited by papers focused on Systemic Lupus Erythematosus Research (11 papers), Liver Diseases and Immunity (9 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). I. Wichmann collaborates with scholars based in Spain, United States and Switzerland. I. Wichmann's co-authors include Antonio Núñez‐Roldán, Isabel Aguilera, J Sánchez-Román, J.M. Varela, J.M. Sousa, A Bernardos, José-Raúl Garcı́a-Lozano, N. Respaldiza, María Francisca González‐Escribano and Emilio Franco and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Annals of the New York Academy of Sciences.

In The Last Decade

I. Wichmann

44 papers receiving 805 citations

Peers

I. Wichmann
Comparison fields: 5 of 58
  • Epidemiology 287
  • Hepatology 209
  • Rheumatology 197
  • Immunology 167
  • Molecular Biology 155
Replace K. Ayed with:
K. Ayed Tunisia
C Raffoux France
S. Ferenčík Germany
W. E. Aulitzky Germany
M. Bunce United Kingdom
P Polchi Italy
Norbert Frickhofen Germany
Alida Dominietto Italy
Francesca Zorat Italy
Riccardo Varaldo Italy
K. Ayed Tunisia View profile →
Citations per field, relative to I. Wichmann
I. Wichmann · 1×
Citations per year, relative to I. Wichmann
I. Wichmann · 1×

Countries citing papers authored by I. Wichmann

Since Specialization
Citations

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

Fields of papers citing papers by I. Wichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I. Wichmann

This figure shows the co-authorship network connecting the top 25 collaborators of I. Wichmann. A scholar is included among the top collaborators of I. Wichmann 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 I. Wichmann. I. Wichmann 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 47
2 20
3 26
4 26
5 6
6 14
7 12
8 28
9 8
10 18
11 15
12
Frecuencia de anticuerpos antinucleares en ancianos sanos
2
13 18
14 65
15 6
16 21
17 18
18 12
19
[DIDMOAD syndrome. Study of 3 families with 5 new cases. Differentiation from classic insulin-dependent diabetes mellitus].
2
20 1

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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