Carmen Conde

1.3k citations
59 papers · 1.1k · h-index 21

Impact in

  • Microbiology top 10%
    • Rheumatoid Arthritis Research and Therapies
    • Systemic Lupus Erythematosus Research

Papers in

    • Rheumatoid Arthritis Research and Therapies 8
    • Systemic Lupus Erythematosus Research 6
    • T-cell and B-cell Immunology 4

Carmen Conde

54 papers receiving 1.0k citations

Peers

Carmen Conde
Comparison fields: 5 of 95
  • Microbiology 12
  • Rheumatology 197
  • Immunology 275
  • Oncology 306
  • Physiology 35
Replace Neelakshi R. Jog with:
Neelakshi R. Jog United States
Kazuhiko YAMAMURA Japan
Ivan Formentini Switzerland
Fabian Hässler Germany
Samuel García Netherlands
Taylor B. Guo China
M. Zaeem Cader United Kingdom
Mineko Tsuruoka Japan
Palaniswami Rathanaswami Canada
Yoshishige Miyabe Japan
Carmen Conde relative to Neelakshi R. Jog United States Neelakshi R. Jog's profile →
Citations per field
00.5×1.5×1.8×
Neelakshi R. Jog · 1×
Citations per year

Countries citing papers authored by Carmen Conde

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Conde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007127
2 200166
3 201053
4 201050
5 201350
6 200647
7 197444
8 200743
9 202036
10 200435
11 202135
12 199833
13 200533
14 200733
15 201231
16 201529
17 202027
18 201926
19 199724
20 201521

About Carmen Conde

Carmen Conde is a scholar working on Rheumatology, Immunology, Oncology, Parasitology and Cancer Research, having authored 59 papers that have together received 1.1k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (8 papers), PARP inhibition in cancer therapy (7 papers), Systemic Lupus Erythematosus Research (6 papers), Breast Cancer Treatment Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Parasites and Host Interactions (4 papers), T-cell and B-cell Immunology (4 papers) and Autoimmune and Inflammatory Disorders Research (3 papers). The work is most often cited by research in Microbiology (12 citations), Rheumatology (197 citations), Immunology (275 citations), Oncology (306 citations) and Physiology (35 citations). Carmen Conde has collaborated with scholars based in Spain, Netherlands and Mexico. Frequent co-authors include Samuel García, Juan Jesús Gómez-Reino, Antonio G. González, Francisco Javier Oliver, Beatriz Orosa‐Puente, Antonio Mera, Angel Ballabriga, Manuela Martínez, Rocío Aguilar‐Quesada and Jerónimo Forteza. Their work appears in journals such as Arthritis Research & Therapy, Frontiers in Immunology, Lara D. Veeken, Scientific Reports and Annals of the Rheumatic Diseases.

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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