Ingrid Schmid

3.8k total citations
63 papers, 3.2k citations indexed

About

Ingrid Schmid is a scholar working on Molecular Biology, Immunology and Virology. According to data from OpenAlex, Ingrid Schmid has authored 63 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 24 papers in Immunology and 11 papers in Virology. Recurrent topics in Ingrid Schmid's work include Immune Cell Function and Interaction (17 papers), HIV Research and Treatment (11 papers) and Single-cell and spatial transcriptomics (10 papers). Ingrid Schmid is often cited by papers focused on Immune Cell Function and Interaction (17 papers), HIV Research and Treatment (11 papers) and Single-cell and spatial transcriptomics (10 papers). Ingrid Schmid collaborates with scholars based in United States, Germany and France. Ingrid Schmid's co-authors include Janis V. Giorgi, Christel H. Uíttenbogaart, Jonathan Braun, Birgitte Keld, Beth D. Jamieson, Lance E. Hultin, P. Schmid, Jerome A. Zack, Bonnie L. Svarstad and John Ferbas and has published in prestigious journals such as Blood, PLoS ONE and Journal of Virology.

In The Last Decade

Ingrid Schmid

63 papers receiving 3.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ingrid Schmid United States 30 1.2k 1.1k 578 375 352 63 3.2k
Christel H. Uíttenbogaart United States 38 1.5k 1.2× 2.4k 2.1× 731 1.3× 313 0.8× 517 1.5× 97 4.5k
Andras K. Szakal United States 31 777 0.6× 2.3k 2.1× 491 0.8× 333 0.9× 354 1.0× 61 4.0k
Gurvinder Kaur India 31 916 0.8× 1.0k 0.9× 330 0.6× 380 1.0× 208 0.6× 146 3.4k
Masaaki Miyazawa Japan 38 839 0.7× 1.9k 1.7× 860 1.5× 363 1.0× 411 1.2× 187 5.0k
Janice S. Blum United States 33 1.7k 1.4× 2.5k 2.3× 373 0.6× 236 0.6× 505 1.4× 76 4.6k
Michel Séman France 32 1.4k 1.2× 1.3k 1.1× 291 0.5× 306 0.8× 633 1.8× 109 3.9k
Jacques Thèze France 36 1.1k 0.9× 2.9k 2.6× 772 1.3× 253 0.7× 493 1.4× 194 4.4k
Jean Claude Ameisen France 23 1.4k 1.1× 1.2k 1.1× 834 1.4× 400 1.1× 188 0.5× 40 3.6k
William M. Mitchell United States 35 1.3k 1.1× 870 0.8× 709 1.2× 465 1.2× 469 1.3× 131 4.1k
Tong Zhang China 31 1.2k 1.0× 1.5k 1.4× 701 1.2× 519 1.4× 1.1k 3.2× 148 3.7k

Countries citing papers authored by Ingrid Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Ingrid Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ingrid Schmid

This figure shows the co-authorship network connecting the top 25 collaborators of Ingrid Schmid. A scholar is included among the top collaborators of Ingrid Schmid 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 Schmid. Ingrid Schmid 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
1.
Schmid, Ingrid. (2016). Flow Cytometry - Select Topics. InTech eBooks. 3 indexed citations
2.
Gupta, Vinayak, et al.. (2014). AcGFP and mCherry Calibration Beads for Flow Cytometry. Journal of Biomolecular Techniques JBT. 25. 2 indexed citations
3.
Ibarrondo, F. Javier, Otto O. Yang, Thinle Chodon, et al.. (2013). Natural Killer T Cells in Advanced Melanoma Patients Treated with Tremelimumab. PLoS ONE. 8(10). e76829–e76829. 14 indexed citations
4.
Schmid, Ingrid. (2012). Flow Cytometry - Recent Perspectives. InTech eBooks. 23 indexed citations
5.
Liu, Yue, Fei Ye, Kazunari Yamada, et al.. (2011). Autocrine Endothelin-3/Endothelin Receptor B Signaling Maintains Cellular and Molecular Properties of Glioblastoma Stem Cells. Molecular Cancer Research. 9(12). 1668–1685. 30 indexed citations
6.
Schmid, Ingrid, Mario Roederer, Richard A. Koup, David R. Ambrozak, & Stephen P. Perfetto. (2004). Biohazard Sorting. Methods in cell biology. 75. 221–240. 2 indexed citations
7.
Schmid, Ingrid, Mirabelle Dagarag, Mary Ann Hausner, et al.. (2002). Simultaneous flow cytometric analysis of two cell surface markers, telomere length, and DNA content. Cytometry. 49(3). 96–105. 35 indexed citations
8.
Schmid, Ingrid, Mary Ann Hausner, Steve W. Cole, et al.. (2001). Simultaneous flow cytometric measurement of viability and lymphocyte subset proliferation. Journal of Immunological Methods. 247(1-2). 175–186. 24 indexed citations
9.
Schmid, Ingrid, Steve W. Cole, Yael Korin, Jerome A. Zack, & Janis V. Giorgi. (2000). Detection of cell cycle subcompartments by flow cytometric estimation of DNA-RNA content in combination with dual-color immunofluorescence. Cytometry. 39(2). 108–116. 38 indexed citations
10.
Schmid, Ingrid, Isabel Sattler, Susanne Grabley, & Ralf Thiericke. (1999). Natural Products in High Throughput Screening: Automated High-Quality Sample Preparation. SLAS DISCOVERY. 4(1). 15–25. 37 indexed citations
11.
Chu, Yu‐Waye, Ray Wang, Ingrid Schmid, & Kathleen M. Sakamoto. (1999). Analysis with flow cytometry of green fluorescent protein expression in leukemic cells. Cytometry. 36(4). 333–339. 30 indexed citations
12.
Schmid, Ingrid, Janet K.A. Nicholson, Janis V. Giorgi, et al.. (1997). Biosafety guidelines for sorting of unfixed cells. Cytometry. 28(2). 99–117. 37 indexed citations
13.
Uíttenbogaart, Christel H., Beth D. Jamieson, Scott G. Kitchen, et al.. (1996). Differential tropism of HIV-1 isolates for distinct thymocyte subsets in vitro. AIDS. 10(7). F9–F16. 55 indexed citations
14.
Fady, Catherine, Agnes Gardner, Kenneth B. Briskin, et al.. (1995). Atypical Apoptotic Cell Death Induced in L929 Targets by Exposure to Tumor Necrosis Factor. Journal of Interferon & Cytokine Research. 15(1). 71–80. 45 indexed citations
15.
Schmid, Ingrid, Christel H. Uíttenbogaart, & Janis V. Giorgi. (1994). Sensitive method for measuring apoptosis and cell surface phenotype in human thymocytes by flow cytometry. Cytometry. 15(1). 12–20. 199 indexed citations
16.
Uhler, Meike L., Andrew Leung, Steven Y.W. Chan, Ingrid Schmid, & Christina Wang. (1993). Assessment of human sperm acrosome reaction by flow cytometry: validation and evaluation of the method by fluorescence-activated cell sorting. Fertility and Sterility. 60(6). 1076–1081. 16 indexed citations
17.
18.
Storek, Jan, Ingrid Schmid, Stephen A. Ferrara, & Andrew Saxon. (1992). A novel B cell stimulation/proliferation assay using simultaneous flow cytometric detection of cell surface markers and DNA content. Journal of Immunological Methods. 151(1-2). 261–267. 9 indexed citations
19.
Giorgi, Janis V., et al.. (1987). Selective alterations in immunoregulatory lymphocyte subsets in early HIV (human T-lymphotropic virus type III/lymphadenopathy-associated virus) infection. Journal of Clinical Immunology. 7(2). 140–150. 60 indexed citations
20.
Schmid, Ingrid, et al.. (1968). [On some biological properties of a permanent in vitro growing strain of Ehrlich ascites tumor cells].. PubMed. 18(12). 1500–4. 15 indexed citations

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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