Maya Ram

59 papers receiving 2.1k citations

Peers

Maya Ram
Comparison fields: 5 of 105
  • Rheumatology 598
  • Gastroenterology 196
  • Parasitology 169
  • Hepatology 203
  • Immunology 539
Replace Rubén D. Mantilla with:
Rubén D. Mantilla Colombia
Wolfgang Schlumberger Germany
Ricardo Drut Argentina
P. J. Sinnott United Kingdom
Ritambhra Nada India
A Tiilikainen Finland
Paul A. Blair United Kingdom
Mark Lazarus United Kingdom
Fiona Graeme‐Cook United States
Ellen C. Ebert United States
Maya Ram relative to Rubén D. Mantilla Colombia Rubén D. Mantilla's profile →
Citations per field
00.5×4.2×
Rubén D. Mantilla · 1×
Citations per year

Countries citing papers authored by Maya Ram

Since Specialization
Citations

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

Fields of papers citing papers by Maya Ram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006241
2 2007153
3 2007115
4
The mosaic of autoimmunity: prediction, autoantibodies, and therapy in autoimmune diseases--2008.
2008102
5
The mosaic of autoimmunity: genetic factors involved in autoimmune diseases--2008.
200899
6 200796
7 200881
8 200974
9 200972
10 201272
11 200866
12 200962
13 201158
14 200955
15 201254
16 200953
17 201248
18
The mosaic of autoimmunity: genetic factors involved in autoimmune diseases—2008. Isr Med Assoc J
200845
19 201144
20 200940

About Maya Ram

Maya Ram is a scholar working on Epidemiology, Rheumatology, Obstetrics and Gynecology, Immunology and Pediatrics, Perinatology and Child Health, having authored 62 papers that have together received 2.1k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (11 papers), Pregnancy and preeclampsia studies (10 papers), Cytomegalovirus and herpesvirus research (7 papers), Celiac Disease Research and Management (6 papers), Gestational Diabetes Research and Management (6 papers), Parvovirus B19 Infection Studies (6 papers), T-cell and B-cell Immunology (5 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Rheumatology (598 citations), Gastroenterology (196 citations), Parasitology (169 citations), Hepatology (203 citations) and Immunology (539 citations). Maya Ram has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Yehuda Shoenfeld, Ori Barzilai, Yaniv Sherer, Juan‐Manuel Anaya, Nicola Bizzaro, Miri Blank, David Izhaky, M. Eric Gershwin, Nancy Agmon‐Levin and Howard Amital. Their work appears in journals such as Annals of the New York Academy of Sciences, Archives of Gynecology and Obstetrics, American Journal of Obstetrics and Gynecology, Clinical Reviews in Allergy & Immunology and Autoimmunity Reviews.

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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